Suppose again we are interested in modelling the relationship between a person's writing handrspan and their height. Further suppose that a new group of students have been asked in a survey what their writing hand span and height are, in cm. For this analysis, we have that: . "he response variable, y, is height . 'he explanatory variable. cc. is writing handspan. Based on the responses received, the results of the analysis are provided below: Cal?) lm( ormula = df$Height ~ df$Wr.Hnd, data = df) Residuals: Min 10 Median 30 Max 15.4448 4.1266 0.1068 4.4483 21.08?9 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) 128.2695 F.1493 1?.941 |t| ) (Intercept ) 113. 173 33. 747 3.354 0. 00574 * * df$Wr . Hnd 3.359 1 . 798 1. 868 0. 08630 . Signif. codes: 0 '***' 0.001 '** ' 0.01 '*' 0.05 ' . ' 0.1 ' ' 1 Residual standard error: 9.276 on 12 degrees of freedom (1 observation deleted due to missingness) Multiple R-squared: 0.2254, Adjusted R-squared: 0. 1608 F-statistic: 3.491 on 1 and 12 DF, p-value: 0. 0863 Answer the following questions, rounding your answers to three decimal places where relevant. For p-values that are very small (i.e. p |t|) (Intercept) 141.098 22.377 6.305 3.92e-05 * * * df$Wr . Hnd 1.823 1. 127 1. 618 0. 132 Signif. codes: 0 '***' 0.001 ' **' 0.01 '*' 0.05 ' . ' 0.1 ' ' Residual standard error: 7.289 on 12 degrees of freedom (1 observation deleted due to missingness) Multiple R-squared: 0. 179, Adjusted R-squared: 0. 1106 F-statistic: 2.617 on 1 and 12 DF, p-value: 0. 1317 Answer the following questions, rounding your answers to three decimal places where relevant. For p-values that are very small (i.e. p