Question
In: Statistics and Probability
Find the regression equation (rounding values to 2 places), letting the first variable be the independent...
Find the regression equation (rounding values to 2 places), letting the first variable be the independent variable x. Use the regression equation values to find the best predicted gross amount for a movie with a budget of 67 million dollars. Hint: Use the exact regression values to find an accurate predicted value and then round your answer. In the table below, all amounts are in millions of dollars. Budget 92 196 68 35 68 59 53 50 Gross 64 604 53 63 70 70 55 53
Solutions
orchestra answered 2 years agoRelated Solutions
Find the regression equation (rounding values to 2 places), letting the first variable be the independent...
Find the regression equation (rounding values to 2 places),
letting the first variable be the independent variable
x.
Use the regression equation values to find the best predicted gross
amount for a movie with a budget of 65 million dollars. Hint:
Use the exact regression values to find an accurate predicted value
and then round your answer.
In the table below, all amounts are in millions of dollars.
Budget
92
196
38
77
74
95
62
74
Gross
66
608...
Find the regression equation, letting the first variable be the predictor (x) variable. Find the best...
Find the regression equation, letting the first variable be the
predictor (x) variable. Find the best predicted Nobel Laureate
rate for a country that has 78.1.
Internet users per 100 people. How does it compare to the
country's actual Nobel Laureate rate of 1.6 per 10 million
people?
Find the equation of the regression line.
Y^= _____ + ______x.
(Round the constant to one decimal place as needed. Round the
coefficient to three decimal places as needed.)
The best predicted...
Find the regression equation, letting the first variable be the predictor (x) variable. Find the best...
Find the regression equation, letting the first variable be the
predictor (x) variable. Find the best predicted Nobel Laureate
rate for a country that has 78.2 Internet users per 100 people. How
does it compare to the country's actual Nobel Laureate rate of 1
per 10 million people?
Internet Users Per 100 Nobel Laureates
79.5 5.5
80.6 24.2
77.8 8.7
45 0.1
82.7 6.1
37.9 0.1
89.2 25.3
88.9 7.6
79.8 9
83.6 12.8
52.8 1.9
77.3 12.7
56.5 3.3...
A.) Find the regression equation, letting the first variable be the predictor (x) variable. Using the...
A.) Find the regression equation, letting the first variable be
the predictor (x) variable. Using the listed actress/actor ages
in variousyears, find the best predicted age of the Best Actor
winner given that the age of the Best Actress winner that year is
34 years. Is the result within 5 years of the actual Best Actor
winner, whose age was 52 years?
Best Actress
29
29
29
58
34
33
46
28
64
23
45
54
Best Actor
44
37...
find the regression? equation, letting the first variable be the predictor? (x) variable. Using the listed?...
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 525 metric tons of lemon imports. Is the
prediction? worthwhile? Lemon Imports 226 270 354 483 544 Crash
Fatality Rate 16 15.7 15.5 15.4 15 Find the equation of the
regression line y...
Find the regression equation, letting the first variable be the predictor (x) variable. Using the listed...
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...
18) Find the regression equation, letting the first variable be the predictor (x) variable. Using the...
18) 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 400 metric tons of lemon imports. Is
the prediction worthwhile?
Lemon Imports Crash Fatality Rate
234 16
262 15.8
365 15.5
500 15.4
534 15
Find the regression equation, letting the first variable be the predictor (x) variable. Using the listed...
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
31 years. Is the result within 5 years of the actual Best Actor
winner, whose age was 49 years? Best Actress 29 30 30 63 31 35 43
29 60 22 46 57 Best Actor 43 37...
Find the regression equation, letting the first variable be the predictor (x) variable. Using the listed...
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 the equation of the
regression line. y...
1. Find the regression equation, letting the first variable be the predictor (x) variable. Using the...
1. 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 that year is 44 years. Is the result within 5 years of the
actual Best Actor winner, whose age was 42 years?
Best actress: 28 29 30 61 32 35 46 28 61 23 44 51
Best Actor: 44 38 37 45 52 46 58 48 40 53...
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