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 table below shows the heights (in feet) and the number of stories of six notable buildings in a city.
Height comma xHeight, x |
768 |
628 |
518 |
511 |
491 |
478 |
|
(a) x=503 feet | (b) x=643 feet |
---|---|---|---|---|---|---|---|---|---|
Stories, y |
52 |
48 |
45 |
43 |
38 |
36 |
(c) x=345 feet | (d) x=727 feet |
Find the regression equation.
(a) Predict the value of y for x=503. Choose the correct answer below.
A. 52
B. 41
C.48
D.not meaningful
(b) Predict the value of y for x=643. Choose the correct answer below.
A. 48
B. 33
C. 41
D. not meaningful
(c) Predict the value of y for x=345. Choose the correct answer below.
A.52
B. 33
C.48
D. not meaningful
(d) Predict the value of y for x=727. Choose the correct answer below.
A.41
B.33
C.52
D. not meaningful
y^ =0.048x+16.66
a)
predicted val=16.66+503*0.048= | 41 |
b)
predicted val=16.66+643*0.048= | 48 |
c)
D. not meaningful
d)
predicted val=16.66+727*0.048= | 52 |
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