Visually inspect the plot and write a judgment about each of the four characteristics of scatterplots that if present would lead to misinterpretation of the Pearson correlation coefficient:  curvilinearity outliers (values with a gap of >2 SD from the next extreme value) restricted range (using < ½ of the possible range of the variable) multiple sub-groups

An investigation of the relationship between traffic flow (measured in cars per day) and lead content (measured in micrograms per gram of dry weight) in the bark of trees near the highway yielded the following summary statistics:   Sample Mean Sample Standard Deviation Lead Content (micrograms per gram dry weight) y¯=y¯= 680 sysy = 240 Traffic Flow (cars / day) x¯=x¯= 1750 sxsx = 800 The correlation between lead content and traffic flow was found to be r = 0.6 and a scatterplot showed the form to be linear. The least squares regression line for using X to predict Y was found to be y^=365+0.18xy^=365+0.18x.   Which one of the following is a proper interpretation of the slope? Group of answer choices For each 1 car per day increase in traffic flow, we predict an corresponding increase of 0.18 in lead content of surrounding trees For each 0.6 car per day increase in traffic flow, we predict an corresponding increase of 365.18 in lead content of surrounding trees For each 1…

Standardized Residual (a) Develop the estimated regression equation for these data. (Round your numerical values to two decimal places.) ŷ = xi 1 2 3 4 (b) Plot the standardized residuals versus ý. Y₁ 7 11 2 3 4 -1 1 7 5 02468 10 12 14 16 18 20 ŷ 5 9 15 18 (c) Compute the studentized deleted residuals for these data. (Round your answers to two decimal places.) Studentized x; Yi Deleted Residual 11 9 15 Do there appear to be any outliers in these data? Explain. The value of the standardized residual for no observations ✓ ✓ is either greater than +2 or less than -2. Therefore, there are no outliers 18 Standardized Residual -1 02 468 10 12 14 16 18 20 ŷ Standardized Residual -1 0 2 4 6 8 10 12 14 16 18 20 ŷ O @✓ Standardized Residual -1 -2 0 2 4 6 8 10 12 14 16 18 20 ŷ Ⓡ

solve for image  and find critical values