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 1 3 4 6 (a) x=2 hours (c) x = 14 hours (b) x = 2.5 hours (d) x = 1.5 hours 40 43 52 48 61 67 Find the regression equation. (Round the slope to three decimal places as needed. Round the y-intercept to two decimal places as needed.)
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 1 3 4 6 (a) x=2 hours (c) x = 14 hours (b) x = 2.5 hours (d) x = 1.5 hours 40 43 52 48 61 67 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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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
1
2
3
3
4
6
(a) x = 2 hours
(c) x = 14 hours
(b) x = 2.5 hours
(d) x = 1.5 hours
40
43
52
48
61
67
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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