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 below. Hours spent studying, x Test score, y 3. 4 (a) x = 3 hours (c) x = 12 hours (b) x = 3.5 hours 40 45 50 49 65 68 (d) x = 4.5 hours Find the regression equation. (Round the slope to three decimal places as needed. Round the y-intercept to two decimal places as needed.)

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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 below.
Hours spent studying, x
Test score, y
3.
4
(a) x = 3 hours
(c) x = 12 hours
(b) x = 3.5 hours
40
45
50
49
65
68
(d) x = 4.5 hours
Find the regression equation.
(Round the slope to three decimal places as needed. Round the y-intercept to two decimal places as needed.)
Transcribed Image Text: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 below. Hours spent studying, x Test score, y 3. 4 (a) x = 3 hours (c) x = 12 hours (b) x = 3.5 hours 40 45 50 49 65 68 (d) x = 4.5 hours Find the regression equation. (Round the slope to three decimal places as needed. Round the y-intercept to two decimal places as needed.)
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