click in answer choices 1) "error sun of squares" "total sum of squares" or "regression sum of squares" which of these data is "3945.3720" "3308.3821" or "636.7319" question 3 choices error sun of squares" "total sum of squares" or "regression sum of squares" and "3945.3720" "3308.3821" or "636.7319".

Bivariate data obtained for the paired variables X and ) 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 =479.48 -0.83x . In the "Calculations" table are calculations involving the observed ) values, the mean J of these values, and the values ) predicted from the regression equation. Sample data Calculations 214.3 295.8 33.7677 1572.2018 1145.1456 245.3 291.4 240.8394 193.7942 866.7136 263.0 246.3 221.7121 0.5929 245.2356 283.4 254.8 111.1338 313.3608 51 2656 304.3 221.5 29.2789 1228.4324 1637.0116 Column sums 636.7319 330B.3821 3945.3720 Send data to Excel Figure 1 Answer the following: 1. The least-squares regression line given above is said to be a line which "best nits" the sample date. The term "best fits" is used because the line has an equation that minimizes the ? v . which for these data is ? 2. For the data point (214.3, 295 8), the value of the residual is ]. (Round your answer to at least 2 decimal places.) 3. The variation in the sample y values that is not explained by the estimated near relationship between x and y is given by the F Il . which for these data is ? 4. The proportion of the total variation in the samplery values that can be explained by the estimated linear relationship between > and y is |). (Round your answer to at least 2) decimal places.) I Don't Know Submit