pop down options are: regression sum of squares, total sum of squares, and error sum of squares. and for the second pop down the options are the column sums: 6.4116, 5.7292, and 12.1720

Bivariate data obtained for the paired variables x and y are shown below, in the table labelled "Sample data." These data are plotted in the scatter plot in Figure 1, which also displays the least-squares regression line for the data. The equation for this line is y = 36.76-0.40x . In the "Calculations" table are calculations involving the observed y values, the mean y of these values, and the values y predicted from the regression equation. Sample data Calculations ( 1- 7 ) 2 (1 - V ) 32 30- 22.3 28.2 2.4964 0.1296 3.7636 28- 24.4 28.1 0.5476 1.2100 3.3856 25.5 24.6 0.0900 3.8416 2.7556 26- 27.5 25.3 0.2500 0.2116 0.9216 24 30.6 25.1 3.0276 0.3364 1.3456 22 Column sums 6.4116 5.7292 12.1720 2:2 24 26 28 30 32 Send data to Excel Figure 1 Answer the following: 1. For the data point (25.5, 24.6), the value of the residual is . (Round your answer to at least 2 decimal places.) 2. The least-squares regression line given above is said to be a line which "best fits" the sample data. The term "best fits" is used because the line has an equation that minimizes the ? , which for these data is ? 3. The variation in the sample y values that is not explained by the estimated linear relationship between x and y is given by the|? , which for these data is ? 4. The proportion of the total variation in the sample y values that can be explained by the estimated linear relationship between x and y is ]. (Round your answer to at least 2 decimal places