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 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 studen for a test and their scores on that test are shown below. (b) x = 3.5 hours Hours spent studying, x Test score, y 1 4 (a) x = 2 hours 40 45 51 49 62 67 (c) x = 15 hours (d) x = 1.5 hours Find the regression equation. dod

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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.
(b) x = 3.5 hours
Hours spent studying, x
Test score, y
(a) x = 2 hours
(c) x = 15 hours
1
2
4
40
45
51
49
62
67
(d) x = 1.5 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. (b) x = 3.5 hours Hours spent studying, x Test score, y (a) x = 2 hours (c) x = 15 hours 1 2 4 40 45 51 49 62 67 (d) x = 1.5 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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