Regression GRAPH SETTINGS Reset Show y - y Show residuals y - y Choose a Dataset (1 to 100) 93 Intercept 15 (-6 to 15) 6.4 12 -6 15 Slope 9 (-3 to 3) 0.0 6 OLZZ -3 3 3 0 CALCULATIONS -3 Sample Size 16 -6 Sum of Squares, 85.75 0 2 4 6 8 10 12 14 16 Total X Sum of Squared 85.76 Residuals - Proposed Regression Line - - SSR ComponentsQuestion 5 - Proctoring Enable X in Course: ECON460-AP2-STACK X + C ezto.mheducation.com/ext/map/index.html?_con=con&external_browser=0&launchUrl=https%253A%252F%252Fnewconnect.mheducation.com%252F#/activity/q... d Proctoring Enabled: Regression (Graded) i Submitted 49.31/100 Total points awarded Help Exit 5 Regression In. GRAPH SETTINGS Reset 3.57/14.28 points awarded Show y - y Show residuals y - y Choose a Dataset 93 (1 to 100) Scored Intercept 15 (-6 to 15) 6.4 12 -6 15 Book Slope 9 0.0 (-3 to 3) References 6 -3 3 3 0 CALCULATIONS -3 Sample Size 16 -6 Sum of Squares, 85.75 0 2 4 6 8 10 12 14 16 Total Sum of Squared 85.76 Residuals - Proposed Regression Line - - SSR Components Mc Graw HillIn. GRAPH SETTINGS Reset Show y - y Show residuals y - y Choose a Dataset (1 to 100) 93 Intercept 15 (-6 to 15) 6.4 ed 12 -6 15 Slope 9 (-3 to 3) 0.7 -3 3 W 0 CALCULATIONS -3 Sample Size 16 -6 Sum of Squares, 85.75 0 2 4 6 8 10 12 14 16 Total X Sum of Squared 428.11 Residuals - Proposed Regression Line -- SSR ComponentsRegression ||._ GRAPH Show y - 7 Choose a Dataset (1 to 100) Intercept (-6 to 15) .. l ...._____. I I I I I I I I I I I b @ CALCULATIONS Sample Size Sum of Squares, 4 6 8 10 12 14 16 Total x Sum of Squared Residuals Proposed Regression Line SSR Components Interact with the above tool as instructed, and observe what happens to answer the following questions. I . _ . I I Interact with the above tool as instructed, and observe what happens to answer the following questions. Select data set 93 and then click anywhere else to plot the data. Click the Show Residuals button above the graph. In the table below, report the Sum of Squares, Residual (sometimes called 55 Error) for the hypothesized line with a slope of zero, and for the line of best fit. Use these to calculate Sum of Squares, Explained (sometimes called 55 Regression). (Hint: this line has a slope of 0.7). Switch to data set 94, and then click anywhere else in the tool to see the new plot. Complete the data below by reporting the Sum of Squares, Residual (55 Error) for the hypothesized line with a slope of zero, and for the line of best fit. Calculate the Sum of Squares, Explained (SS Regression). (Hint: this line has a slope of 0.6). (Report all values to two decimal places.) Sum of Squares Data Set 93 Data Set 94 Total Residual Explained