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.
font size decreased by 1 font size increased by 1 Hours spent studying comma xHours spent studying, x |
00 |
22 |
22 |
33 |
44 |
66 |
|
(a)
xequals=22 hours |
(b)
xequals=4.54.5 hours |
|||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Test score, y |
4040 |
4545 |
5050 |
4848 |
6565 |
7070 |
(c)
xequals=1212 hours |
(d)
xequals=3.53.5 hours |
Find the regression equation.
ModifyingAbove y with caretyequals=nothing xplus+left parenthesis nothing right parenthesis
(Round the slope to three decimal places as needed. Round the y-intercept to two decimal places as needed.)
The statistical software output for this problem is:
Simple linear regression results:
Dependent Variable: y
Independent Variable: x
y = 37.632 + 5.424 x
Sample size: 6
R (correlation coefficient) = 0.9357289
R-sq = 0.87558857
Estimate of error standard deviation: 4.6660476
Parameter estimates:
Parameter | Estimate | Std. Err. | Alternative | DF | T-Stat | P-value |
---|---|---|---|---|---|---|
Intercept | 37.632 | 3.4667195 | ≠ 0 | 4 | 10.855219 | 0.0004 |
Slope | 5.424 | 1.0222798 | ≠ 0 | 4 | 5.3057881 | 0.0061 |
Hence,
Regression equation will be:
y = 5.424 x + 37.63
Get Answers For Free
Most questions answered within 1 hours.