This is the R output for the regression of house prices on the size of the house.

Call: lm(formula = data$price ~ data$sqrft) Residuals:

Min 1Q Median 3Q Max

-117.112 -36.348 -6.503 31.701 235.253

Coefficients:

Estimate Std. Error t value Pr(>|t|)

(Intercept) 11.20414 24.74261 0.453 0.652

data$sqrft 0.14021 0.01182 11.866

--- Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

Residual standard error: 63.62 on 86 degrees of freedom

Multiple R-squared: 0.6208, Adjusted R-squared: 0.6164

This is the R output for the regression of house prices on the size of the house. Call: 1m (formula data$price data$sqrft) Residuals: 1Q Min -117.112 -36.348 -6.503 31.701 Median 3Q Max 235.253 Coefficients: Estimate Std. Error t value Pr(>[t]) (Intercept) 11.20414 24.74261 0.453 data$sqrft 0.14021 0.652 0.01182 11.866