Question

Find the regression equation, letting the first variable be the predictor (x) variable. Using the listed actress/actor ages in various years, find the best predicted age of the Best Actor winner given that the age of the Best Actress winner that year is 30 years. Is the result within 5 years of the actual Best Actor winner, whose age was 48 years?

Best Actress |
28 |
30 |
29 |
62 |
32 |
35 |
43 |
30 |
62 |
22 |
44 |
53 |
---|

Best Actor |
42 |
36 |
37 |
43 |
52 |
46 |
61 |
48 |
39 |
56 |
45 |
34 |
---|

yhat= __+(__)x

(Round the constant to one decimal place as needed. Round the coefficient to three decimal places as needed.)

Answer #1

yhat =51.603+(-0.171)*x

from above equation: the predicted value =46 (please try 45 if correlation table or significance level 0.05 is mentioned)

the result is within 5 years of the actual Best Actorwinner, whose age was 48 years

Find the regression equation, letting the first variable be the
predictor (x) variable. Using the listed actress/actor ages in
various years, find the best predicted age of the Best Actor
winner given that the age of the Best Actress winner that year is
29 years. Is the result within 5 years of the actual Best Actor
winner, whose age was 43 years?
Best Actress
29
29
28
62
33
33
47
29
61
22
45
51
Best Actor
43
36...

Find the regression equation, letting the first variable be the
predictor (x) variable. Using the listed actress/actor ages in
various years, find the best predicted age of the Best Actor
winner given that the age of the Best Actress winner that year is
58 years. Is the result within 5 years of the actual Best Actor
winner, whose age was 44 years?
Best Actress 27 31 30 64 34 32 46 29 61 22 43 53
Best Actor 41 38...

Find the regression equation, letting the first variable be the
predictor (x) variable. Using the listed actress/actor ages in
various years, find the best predicted age of the Best Actor
winner given that the age of the Best Actress winner that year
is
44
years. Is the result within 5 years of the actual Best Actor
winner, whose age was
45
years?
Best Actress
29
29
30
58
32
32
47
28
60
23
44
53
Best Actor
43
36...

Find the regression equation, letting the first variable be the
predictor (x) variable. Using the listed actress/actor ages in
various years, find the best predicted age of the Best Actor
winner given that the age of the Best Actress winner that year
is
60
years. Is the result within 5 years of the actual Best Actor
winner, whose age was
38
years?
Best Actress
28
29
30
62
34
34
45
29
60
21
43
52
Best Actor
42
37...

Find the regression equation, letting the first variable be the
predictor (x) variable. Using the listed actress/actor ages in
various years, find the best predicted age of the Best Actor
winner given that the age of the Best Actress winner that year is
27 years. Is the result within 5 years of the actual Best Actor
winner, whose age was 44 years?
Best Actress
27
32
28
63
34
31
47
28
59
23
42
52
Best Actor
44
35...

Find the regression equation, letting the first variable be the
predictor (x) variable. Using the listed actress/actor ages in
various years, find the best predicted age of the Best Actor
winner given that the age of the Best Actress winner that year
is
6060
years. Is the result within 5 years of the actual Best Actor
winner, whose age was
3838
years?
Best Actress
2828
2929
3030
6262
3434
3434
4545
2929
6060
2121
4343
5252
Best Actor
4242
3737...

Find the regression equation, letting the first variable be the
predictor (x) variable. Using the listed lemon/crash data, where
lemon imports are in metric tons and the fatality rates are per
100,000 people, find the best predicted crash fatality rate for a
year in which there are
500
metric tons of lemon imports. Is the prediction worthwhile?
Lemon Imports
230
270
364
461
526
Crash Fatality Rate
16.1
16
15.7
15.5
15.2
Find the equation of the regression line.
yhat=...

Find the regression equation, letting the first variable be the
predictor (x) variable. Using the listed lemon/crash data, where
lemon imports are in metric tons and the fatality rates are per
100,000 people, find the best predicted crash fatality rate for a
year in which there are 450 metric tons of lemon imports. Is the
prediction worthwhile?
Lemon Imports 231 268 350 461
550
Crash Fatality Rate 15.9 15.6
15.2 15.3 15
Find...

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predictor? (x) variable. Using the listed? lemon/crash data, where
lemon imports are in metric tons and the fatality rates are per?
100,000 people, find the best predicted crash fatality rate for a
year in which there are 475 metric tons of lemon imports. Is the
prediction? worthwhile? Lemon Imports 229 267 362 485 517 Crash
Fatality Rate 15.9 15.8 15.4 15.3 14.9 Find the equation of the
regression line y...

Find the regression equation, letting the first variable be the
predictor (x) variable. Using the listed lemon/crash data, where
lemon imports are in metric tons and the fatality rates are per
100,000 people, find the best predicted crash fatality rate for a
year in which there are 425 metric tons of lemon imports. Is the
prediction worthwhile? Lemon Imports 226 266 364 469 544 Crash
Fatality Rate 15.9 15.7 15.4 15.3 14.8

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