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Data Import from csv

Initial dataset for Analysis Question 1: check assumptions

## 
## Call:
## lm(formula = SalePriceHundr ~ GrLivAreaHundr + Neighborhood, 
##     data = AmesHousing_Data2)
## 
## Residuals:
##     Min      1Q  Median      3Q     Max 
## -1636.6  -162.8     2.9   133.1  1778.5 
## 
## Coefficients:
##                     Estimate Std. Error t value Pr(>|t|)    
## (Intercept)          722.569     53.320  13.552  < 2e-16 ***
## GrLivAreaHundr        45.378      3.129  14.504  < 2e-16 ***
## NeighborhoodEdwards  -27.126     49.330  -0.550 0.582721    
## NeighborhoodNAmes    163.508     43.971   3.719 0.000231 ***
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Residual standard error: 297.8 on 379 degrees of freedom
## Multiple R-squared:  0.3956, Adjusted R-squared:  0.3909 
## F-statistic:  82.7 on 3 and 379 DF,  p-value: < 2.2e-16

##                    GVIF Df GVIF^(1/(2*Df))
## GrLivAreaHundr 1.007636  1        1.003811
## Neighborhood   1.007636  2        1.001904

## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.

## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.

# Since the is some right skewedness and variables that are leveraging the3 regression - look at the outliers

524(131) and 1299(339) in Edwards, have over 10000 sqft including the unfinished basements and 1 and 1.5 acres-most likley an error - no homes over .5 acres built after 2007

534(136) in Brookside, has a price and square feet that are likely missing a zero - Brookside smallest structure has 729 square feet this one, 334

725(190) in Edwards, 643 (169) in NAmes prices are high for living space and thus the sales-living regression is off

##        Id           MSSubClass      MSZoning          LotFrontage        LotArea         Street             Alley             LotShape         LandContour       
##  Min.   :  10.0   Min.   : 20.0   Length:379         Min.   : 24.00   Min.   : 2522   Length:379         Length:379         Length:379         Length:379        
##  1st Qu.: 375.0   1st Qu.: 20.0   Class :character   1st Qu.: 60.00   1st Qu.: 7634   Class :character   Class :character   Class :character   Class :character  
##  Median : 737.0   Median : 30.0   Mode  :character   Median : 70.00   Median : 9084   Mode  :character   Mode  :character   Mode  :character   Mode  :character  
##  Mean   : 743.7   Mean   : 45.2                      Mean   : 70.31   Mean   : 9520                                                                              
##  3rd Qu.:1117.0   3rd Qu.: 60.0                      3rd Qu.: 79.00   3rd Qu.:10626                                                                              
##  Max.   :1460.0   Max.   :190.0                      Max.   :313.00   Max.   :31770                                                                              
##                                                      NA's   :54                                                                                                  
##   Utilities          LotConfig          LandSlope          Neighborhood  Condition1         Condition2          BldgType          HouseStyle         OverallQual   
##  Length:379         Length:379         Length:379         BrkSide: 57   Length:379         Length:379         Length:379         Length:379         Min.   :1.000  
##  Class :character   Class :character   Class :character   Edwards: 97   Class :character   Class :character   Class :character   Class :character   1st Qu.:5.000  
##  Mode  :character   Mode  :character   Mode  :character   NAmes  :225   Mode  :character   Mode  :character   Mode  :character   Mode  :character   Median :5.000  
##                                                                                                                                                     Mean   :5.216  
##                                                                                                                                                     3rd Qu.:6.000  
##                                                                                                                                                     Max.   :8.000  
##                                                                                                                                                                    
##   OverallCond      YearBuilt     YearRemodAdd   RoofStyle           RoofMatl         Exterior1st        Exterior2nd         MasVnrType          MasVnrArea     
##  Min.   :1.000   Min.   :1900   Min.   :1950   Length:379         Length:379         Length:379         Length:379         Length:379         Min.   :   0.00  
##  1st Qu.:5.000   1st Qu.:1947   1st Qu.:1954   Class :character   Class :character   Class :character   Class :character   Class :character   1st Qu.:   0.00  
##  Median :6.000   Median :1957   Median :1965   Mode  :character   Mode  :character   Mode  :character   Mode  :character   Mode  :character   Median :   0.00  
##  Mean   :5.765   Mean   :1954   Mean   :1972                                                                                                  Mean   :  69.49  
##  3rd Qu.:7.000   3rd Qu.:1964   3rd Qu.:1994                                                                                                  3rd Qu.: 104.50  
##  Max.   :9.000   Max.   :2009   Max.   :2009                                                                                                  Max.   :1115.00  
##                                                                                                                                                                
##   ExterQual          ExterCond          Foundation          BsmtQual           BsmtCond         BsmtExposure       BsmtFinType1         BsmtFinSF1     BsmtFinType2      
##  Length:379         Length:379         Length:379         Length:379         Length:379         Length:379         Length:379         Min.   :   0.0   Length:379        
##  Class :character   Class :character   Class :character   Class :character   Class :character   Class :character   Class :character   1st Qu.:   0.0   Class :character  
##  Mode  :character   Mode  :character   Mode  :character   Mode  :character   Mode  :character   Mode  :character   Mode  :character   Median : 399.0   Mode  :character  
##                                                                                                                                       Mean   : 406.1                     
##                                                                                                                                       3rd Qu.: 626.0                     
##                                                                                                                                       Max.   :1880.0                     
##                                                                                                                                                                          
##    BsmtFinSF2        BsmtUnfSF       TotalBsmtSF       Heating           HeatingQC          CentralAir         Electrical          X1stFlrSF      X2ndFlrSF     
##  Min.   :   0.00   Min.   :   0.0   Min.   :   0.0   Length:379         Length:379         Length:379         Length:379         Min.   : 495   Min.   :   0.0  
##  1st Qu.:   0.00   1st Qu.: 165.5   1st Qu.: 780.0   Class :character   Class :character   Class :character   Class :character   1st Qu.: 895   1st Qu.:   0.0  
##  Median :   0.00   Median : 410.0   Median : 945.0   Mode  :character   Mode  :character   Mode  :character   Mode  :character   Median :1053   Median :   0.0  
##  Mean   :  64.74   Mean   : 464.0   Mean   : 934.9                                                                               Mean   :1099   Mean   : 181.5  
##  3rd Qu.:   0.00   3rd Qu.: 707.0   3rd Qu.:1123.0                                                                               3rd Qu.:1232   3rd Qu.: 387.0  
##  Max.   :1029.00   Max.   :1800.0   Max.   :2223.0                                                                               Max.   :2223   Max.   :1427.0  
##                                                                                                                                                                 
##   LowQualFinSF       GrLivArea     BsmtFullBath     BsmtHalfBath        FullBath        HalfBath       BedroomAbvGr    KitchenAbvGr   KitchenQual         TotRmsAbvGrd   
##  Min.   :  0.000   Min.   : 520   Min.   :0.0000   Min.   :0.00000   Min.   :0.000   Min.   :0.0000   Min.   :1.000   Min.   :0.000   Length:379         Min.   : 3.000  
##  1st Qu.:  0.000   1st Qu.:1003   1st Qu.:0.0000   1st Qu.:0.00000   1st Qu.:1.000   1st Qu.:0.0000   1st Qu.:2.000   1st Qu.:1.000   Class :character   1st Qu.: 5.000  
##  Median :  0.000   Median :1200   Median :0.0000   Median :0.00000   Median :1.000   Median :0.0000   Median :3.000   Median :1.000   Mode  :character   Median : 6.000  
##  Mean   :  3.008   Mean   :1283   Mean   :0.4274   Mean   :0.08179   Mean   :1.227   Mean   :0.2269   Mean   :2.873   Mean   :1.055                      Mean   : 6.008  
##  3rd Qu.:  0.000   3rd Qu.:1482   3rd Qu.:1.0000   3rd Qu.:0.00000   3rd Qu.:1.000   3rd Qu.:0.0000   3rd Qu.:3.000   3rd Qu.:1.000                      3rd Qu.: 7.000  
##  Max.   :392.000   Max.   :3112   Max.   :3.0000   Max.   :2.00000   Max.   :3.000   Max.   :2.0000   Max.   :6.000   Max.   :2.000                      Max.   :12.000  
##                                                                                                                                                                          
##   Functional          Fireplaces    FireplaceQu         GarageType         GarageYrBlt   GarageFinish         GarageCars      GarageArea     GarageQual       
##  Length:379         Min.   :0.000   Length:379         Length:379         Min.   :1916   Length:379         Min.   :0.000   Min.   :  0.0   Length:379        
##  Class :character   1st Qu.:0.000   Class :character   Class :character   1st Qu.:1953   Class :character   1st Qu.:1.000   1st Qu.:280.0   Class :character  
##  Mode  :character   Median :0.000   Mode  :character   Mode  :character   Median :1960   Mode  :character   Median :1.000   Median :380.0   Mode  :character  
##                     Mean   :0.467                                         Mean   :1963                      Mean   :1.369   Mean   :377.9                     
##                     3rd Qu.:1.000                                         3rd Qu.:1969                      3rd Qu.:2.000   3rd Qu.:505.0                     
##                     Max.   :3.000                                         Max.   :2009                      Max.   :4.000   Max.   :968.0                     
##                                                                           NA's   :37                                                                          
##   GarageCond         PavedDrive          WoodDeckSF      OpenPorchSF     EnclosedPorch      X3SsnPorch       ScreenPorch        PoolArea          PoolQC         
##  Length:379         Length:379         Min.   :  0.00   Min.   :  0.00   Min.   :  0.00   Min.   :  0.000   Min.   :  0.00   Min.   :  0.000   Length:379        
##  Class :character   Class :character   1st Qu.:  0.00   1st Qu.:  0.00   1st Qu.:  0.00   1st Qu.:  0.000   1st Qu.:  0.00   1st Qu.:  0.000   Class :character  
##  Mode  :character   Mode  :character   Median :  0.00   Median :  0.00   Median :  0.00   Median :  0.000   Median :  0.00   Median :  0.000   Mode  :character  
##                                        Mean   : 59.45   Mean   : 28.34   Mean   : 24.56   Mean   :  3.084   Mean   : 20.14   Mean   :  3.298                     
##                                        3rd Qu.: 89.00   3rd Qu.: 38.00   3rd Qu.:  0.00   3rd Qu.:  0.000   3rd Qu.:  0.00   3rd Qu.:  0.000                     
##                                        Max.   :736.00   Max.   :319.00   Max.   :552.00   Max.   :407.000   Max.   :385.00   Max.   :738.000                     
##                                                                                                                                                                  
##     Fence           MiscFeature           MiscVal             MoSold           YrSold       SaleType         SaleCondition        SalePrice      SalePriceHundr
##  Length:379         Length:379         Min.   :    0.00   Min.   : 1.000   Min.   :2006   Length:379         Length:379         Min.   : 52000   Min.   : 520  
##  Class :character   Class :character   1st Qu.:    0.00   1st Qu.: 5.000   1st Qu.:2007   Class :character   Class :character   1st Qu.:116000   1st Qu.:1160  
##  Mode  :character   Mode  :character   Median :    0.00   Median : 6.000   Median :2008   Mode  :character   Mode  :character   Median :135000   Median :1350  
##                                        Mean   :   79.42   Mean   : 6.285   Mean   :2008                                         Mean   :137662   Mean   :1377  
##                                        3rd Qu.:    0.00   3rd Qu.: 7.000   3rd Qu.:2009                                         3rd Qu.:154650   3rd Qu.:1546  
##                                        Max.   :15500.00   Max.   :12.000   Max.   :2010                                         Max.   :345000   Max.   :3450  
##                                                                                                                                                                
##  GrLivAreaHundr 
##  Min.   : 5.00  
##  1st Qu.:10.00  
##  Median :12.00  
##  Mean   :12.35  
##  3rd Qu.:14.00  
##  Max.   :31.00  
##

## 
## Call:
## lm(formula = SalePriceHundr ~ GrLivAreaHundr + Neighborhood, 
##     data = AmesHousing_Data3)
## 
## Residuals:
##     Min      1Q  Median      3Q     Max 
## -801.01 -171.53    8.91  141.70 1115.38 
## 
## Coefficients:
##                     Estimate Std. Error t value Pr(>|t|)    
## (Intercept)          548.537     52.295  10.489  < 2e-16 ***
## GrLivAreaHundr        60.902      3.359  18.130  < 2e-16 ***
## NeighborhoodEdwards  -32.957     43.307  -0.761 0.447126    
## NeighborhoodNAmes    141.731     38.574   3.674 0.000273 ***
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Residual standard error: 259.4 on 375 degrees of freedom
## Multiple R-squared:  0.5059, Adjusted R-squared:  0.5019 
## F-statistic:   128 on 3 and 375 DF,  p-value: < 2.2e-16

##                    GVIF Df GVIF^(1/(2*Df))
## GrLivAreaHundr 1.007121  1        1.003554
## Neighborhood   1.007121  2        1.001776

## integer(0)

## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.

## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.

## + Fold1: intercept=TRUE 
## - Fold1: intercept=TRUE 
## + Fold2: intercept=TRUE 
## - Fold2: intercept=TRUE 
## + Fold3: intercept=TRUE 
## - Fold3: intercept=TRUE 
## + Fold4: intercept=TRUE 
## - Fold4: intercept=TRUE 
## + Fold5: intercept=TRUE 
## - Fold5: intercept=TRUE 
## Aggregating results
## Fitting final model on full training set

## Linear Regression 
## 
## 383 samples
##   2 predictor
## 
## No pre-processing
## Resampling: Cross-Validated (5 fold) 
## Summary of sample sizes: 306, 306, 306, 307, 307 
## Resampling results:
## 
##   RMSE     Rsquared   MAE     
##   301.959  0.4330415  208.6483
## 
## Tuning parameter 'intercept' was held constant at a value of TRUE

## 
## Call:
## lm(formula = lSalePriceHundr ~ lGrLivAreaHundr + Neighborhood, 
##     data = AmesHousing_Data3)
## 
## Residuals:
##      Min       1Q   Median       3Q      Max 
## -0.71147 -0.11204  0.02033  0.11974  0.48404 
## 
## Coefficients:
##                     Estimate Std. Error t value Pr(>|t|)    
## (Intercept)          5.79475    0.08233  70.386  < 2e-16 ***
## lGrLivAreaHundr      0.53874    0.03251  16.574  < 2e-16 ***
## NeighborhoodEdwards -0.02507    0.03175  -0.790     0.43    
## NeighborhoodNAmes    0.12769    0.02830   4.512 8.61e-06 ***
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Residual standard error: 0.1901 on 375 degrees of freedom
## Multiple R-squared:  0.482,  Adjusted R-squared:  0.4779 
## F-statistic: 116.3 on 3 and 375 DF,  p-value: < 2.2e-16

## # A tibble: 4 × 5
##   term                estimate std.error statistic   p.value
##   <chr>                  <dbl>     <dbl>     <dbl>     <dbl>
## 1 (Intercept)           5.79      0.0823    70.4   3.26e-218
## 2 lGrLivAreaHundr       0.539     0.0325    16.6   1.12e- 46
## 3 NeighborhoodEdwards  -0.0251    0.0318    -0.790 4.30e-  1
## 4 NeighborhoodNAmes     0.128     0.0283     4.51  8.61e-  6

## + Fold1: intercept=TRUE 
## - Fold1: intercept=TRUE 
## + Fold2: intercept=TRUE 
## - Fold2: intercept=TRUE 
## + Fold3: intercept=TRUE 
## - Fold3: intercept=TRUE 
## + Fold4: intercept=TRUE 
## - Fold4: intercept=TRUE 
## + Fold5: intercept=TRUE 
## - Fold5: intercept=TRUE 
## Aggregating results
## Fitting final model on full training set

## Linear Regression 
## 
## 379 samples
##   2 predictor
## 
## No pre-processing
## Resampling: Cross-Validated (5 fold) 
## Summary of sample sizes: 302, 305, 302, 303, 304 
## Resampling results:
## 
##   RMSE       Rsquared   MAE      
##   0.1898086  0.4803786  0.1458332
## 
## Tuning parameter 'intercept' was held constant at a value of TRUE

## 
## -------------------------------Neighborhood no interaction----------------------

## 
## Call:
## lm(formula = lSalePriceHundr ~ relevel(Neighborhood, ref = "BrkSide") + 
##     lGrLivAreaHundr, data = AmesHousing_Data3)
## 
## Residuals:
##      Min       1Q   Median       3Q      Max 
## -0.71147 -0.11204  0.02033  0.11974  0.48404 
## 
## Coefficients:
##                                               Estimate Std. Error t value Pr(>|t|)    
## (Intercept)                                    5.79475    0.08233  70.386  < 2e-16 ***
## relevel(Neighborhood, ref = "BrkSide")Edwards -0.02507    0.03175  -0.790     0.43    
## relevel(Neighborhood, ref = "BrkSide")NAmes    0.12769    0.02830   4.512 8.61e-06 ***
## lGrLivAreaHundr                                0.53874    0.03251  16.574  < 2e-16 ***
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Residual standard error: 0.1901 on 375 degrees of freedom
## Multiple R-squared:  0.482,  Adjusted R-squared:  0.4779 
## F-statistic: 116.3 on 3 and 375 DF,  p-value: < 2.2e-16

##                                                     2.5 %     97.5 %
## (Intercept)                                    5.63286455 5.95663116
## relevel(Neighborhood, ref = "BrkSide")Edwards -0.08751374 0.03736657
## relevel(Neighborhood, ref = "BrkSide")NAmes    0.07204322 0.18334072
## lGrLivAreaHundr                                0.47482796 0.60265980

## # A tibble: 4 × 5
##   term                                              estimate std.error statistic   p.value
##   <chr>                                                <dbl>     <dbl>     <dbl>     <dbl>
## 1 "(Intercept)"                                       5.79      0.0823    70.4   3.26e-218
## 2 "relevel(Neighborhood, ref = \"BrkSide\")Edwards"  -0.0251    0.0318    -0.790 4.30e-  1
## 3 "relevel(Neighborhood, ref = \"BrkSide\")NAmes"     0.128     0.0283     4.51  8.61e-  6
## 4 "lGrLivAreaHundr"                                   0.539     0.0325    16.6   1.12e- 46

## 
## --------------------------Neighborhood interaction---------------------

## 
## Call:
## lm(formula = lSalePriceHundr ~ relevel(Neighborhood, ref = "BrkSide") * 
##     lGrLivAreaHundr, data = AmesHousing_Data3)
## 
## Residuals:
##      Min       1Q   Median       3Q      Max 
## -0.71340 -0.10485  0.02111  0.11456  0.52080 
## 
## Coefficients:
##                                                               Estimate Std. Error t value Pr(>|t|)    
## (Intercept)                                                    5.27676    0.18529  28.478  < 2e-16 ***
## relevel(Neighborhood, ref = "BrkSide")Edwards                  0.35344    0.24449   1.446 0.149117    
## relevel(Neighborhood, ref = "BrkSide")NAmes                    0.86966    0.21328   4.078 5.56e-05 ***
## lGrLivAreaHundr                                                0.75355    0.07615   9.896  < 2e-16 ***
## relevel(Neighborhood, ref = "BrkSide")Edwards:lGrLivAreaHundr -0.15791    0.09987  -1.581 0.114687    
## relevel(Neighborhood, ref = "BrkSide")NAmes:lGrLivAreaHundr   -0.30483    0.08704  -3.502 0.000517 ***
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Residual standard error: 0.1873 on 373 degrees of freedom
## Multiple R-squared:  0.4998, Adjusted R-squared:  0.4931 
## F-statistic: 74.55 on 5 and 373 DF,  p-value: < 2.2e-16

##                                                                    2.5 %      97.5 %
## (Intercept)                                                    4.9124087  5.64111168
## relevel(Neighborhood, ref = "BrkSide")Edwards                 -0.1273038  0.83418190
## relevel(Neighborhood, ref = "BrkSide")NAmes                    0.4502841  1.28902988
## lGrLivAreaHundr                                                0.6038177  0.90329087
## relevel(Neighborhood, ref = "BrkSide")Edwards:lGrLivAreaHundr -0.3542762  0.03846616
## relevel(Neighborhood, ref = "BrkSide")NAmes:lGrLivAreaHundr   -0.4759741 -0.13369004

## # A tibble: 6 × 5
##   term                                                              estimate std.error statistic  p.value
##   <chr>                                                                <dbl>     <dbl>     <dbl>    <dbl>
## 1 "(Intercept)"                                                        5.28     0.185      28.5  1.39e-95
## 2 "relevel(Neighborhood, ref = \"BrkSide\")Edwards"                    0.353    0.244       1.45 1.49e- 1
## 3 "relevel(Neighborhood, ref = \"BrkSide\")NAmes"                      0.870    0.213       4.08 5.56e- 5
## 4 "lGrLivAreaHundr"                                                    0.754    0.0761      9.90 1.18e-20
## 5 "relevel(Neighborhood, ref = \"BrkSide\")Edwards:lGrLivAreaHundr"   -0.158    0.0999     -1.58 1.15e- 1
## 6 "relevel(Neighborhood, ref = \"BrkSide\")NAmes:lGrLivAreaHundr"     -0.305    0.0870     -3.50 5.17e- 4

## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.
## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.
## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.

## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.
## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.
## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.

## [1] "Intercept (in hundreds of dollars): 328.57"

## [1] "Effect of Edwards (in hundreds of dollars): 0.98"

## [1] "Effect of NAmes (in hundreds of dollars): 1.14"

## [1] "Effect of GrLivArea (in hundreds of square feet): 1.71"

Initial dataset for Analysis Question 2

## 
## Call:
## lm(formula = SalePriceHundr ~ GrLivAreaTen + Neighborhood, data = AmesHousing_Data)
## 
## Residuals:
##      Min       1Q   Median       3Q      Max 
## -3028.83  -207.76    -1.82   171.68  2770.02 
## 
## Coefficients:
##                     Estimate Std. Error t value Pr(>|t|)    
## (Intercept)          869.775    104.868   8.294 2.49e-16 ***
## GrLivAreaTen          77.703      2.394  32.462  < 2e-16 ***
## NeighborhoodBlueste -543.761    306.570  -1.774 0.076327 .  
## NeighborhoodBrDale  -669.854    143.026  -4.683 3.09e-06 ***
## NeighborhoodBrkSide -521.726    113.239  -4.607 4.44e-06 ***
## NeighborhoodClearCr  -87.278    126.357  -0.691 0.489849    
## NeighborhoodCollgCr    1.261    104.953   0.012 0.990419    
## NeighborhoodCrawfor -121.090    115.172  -1.051 0.293260    
## NeighborhoodEdwards -592.290    107.611  -5.504 4.39e-08 ***
## NeighborhoodGilbert -177.651    109.752  -1.619 0.105741    
## NeighborhoodIDOTRR  -719.115    120.366  -5.974 2.91e-09 ***
## NeighborhoodMeadowV -670.178    140.952  -4.755 2.19e-06 ***
## NeighborhoodMitchel -280.763    115.481  -2.431 0.015169 *  
## NeighborhoodNAmes   -391.420    103.198  -3.793 0.000155 ***
## NeighborhoodNoRidge  568.989    121.068   4.700 2.86e-06 ***
## NeighborhoodNPkVill -375.318    169.116  -2.219 0.026623 *  
## NeighborhoodNridgHt  839.643    110.500   7.599 5.38e-14 ***
## NeighborhoodNWAmes  -281.081    110.654  -2.540 0.011184 *  
## NeighborhoodOldTown -698.083    106.688  -6.543 8.36e-11 ***
## NeighborhoodSawyer  -408.050    110.427  -3.695 0.000228 ***
## NeighborhoodSawyerW -206.682    112.952  -1.830 0.067484 .  
## NeighborhoodSomerst  182.219    108.918   1.673 0.094546 .  
## NeighborhoodStoneBr  811.593    129.357   6.274 4.65e-10 ***
## NeighborhoodSWISU   -799.029    129.201  -6.184 8.12e-10 ***
## NeighborhoodTimber   231.701    119.894   1.933 0.053489 .  
## NeighborhoodVeenker  359.476    158.709   2.265 0.023661 *  
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Residual standard error: 410.1 on 1434 degrees of freedom
## Multiple R-squared:  0.7381, Adjusted R-squared:  0.7335 
## F-statistic: 161.6 on 25 and 1434 DF,  p-value: < 2.2e-16

## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.

## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.

131 and 339 in Edwards, have over 10000 sqft including the unfinished basements and 1 and 1.5 acres-most likley an error - no homes over .5 acres built after 2007

136 in Brookside, has a price and square feet that are likely missing a zero - Brookside smallest structure has 729 square feet this one, 334

SFDS Final Project

Adam E.

2023-12-09

Packages

Data Import from csv

Initial dataset for Analysis Question 1: check assumptions

524(131) and 1299(339) in Edwards, have over 10000 sqft including the unfinished basements and 1 and 1.5 acres-most likley an error - no homes over .5 acres built after 2007

534(136) in Brookside, has a price and square feet that are likely missing a zero - Brookside smallest structure has 729 square feet this one, 334

725(190) in Edwards, 643 (169) in NAmes prices are high for living space and thus the sales-living regression is off

Initial dataset for Analysis Question 2

131 and 339 in Edwards, have over 10000 sqft including the unfinished basements and 1 and 1.5 acres-most likley an error - no homes over .5 acres built after 2007

136 in Brookside, has a price and square feet that are likely missing a zero - Brookside smallest structure has 729 square feet this one, 334