Find the equation of the regression line for the given data. Then construct a scatter plot of the data and draw the regression line.​ (The pair of variables have a significant​ correlation.) Then use...


Find the equation of the regression line for the given data. Then construct a scatter plot of the data and draw the regression line.​ (The pair of variables have a significant​ correlation.) Then use the regression equation to predict the value of y for each of the given​ x-values, if meaningful. The number of hours 6 students spent for a test and their scores on that test are shown in the image.  Find the regression equation


y^=[ ]x +([ ])


​(Round the slope to three decimal places as needed. Round the​ y-intercept to two decimal places as​ needed.)





Hours spent studying, x<br>Test score, y<br>(a) x= 2 hours<br>(c) x = 12 hours<br>(b) x= 3.5 hours<br>(d) x= 2.5 hours<br>1<br>2<br>3<br>4<br>40<br>44<br>50<br>47<br>63<br>68<br>Find the regression equation.<br>ý=*+ (O<br>(Round the slope to three decimal places as needed. Round the y-intercept to two decimal places as needed.)<br>

Extracted text: Hours spent studying, x Test score, y (a) x= 2 hours (c) x = 12 hours (b) x= 3.5 hours (d) x= 2.5 hours 1 2 3 4 40 44 50 47 63 68 Find the regression equation. ý=*+ (O (Round the slope to three decimal places as needed. Round the y-intercept to two decimal places as needed.)

Jun 03, 2022
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