isted below are paired data consisting of movie budget amounts and the amounts that the movies grossed. Find the regression equation, letting the budget be the predictor (x) variable. Find the best predicted amount that a movie will gross if its budget is
$110
million. Use a significance level of
α=0.05.
Budget ($)in Millions |
46 |
27 |
117 |
70 |
79 |
47 |
120 |
68 |
3 |
60 |
126 |
23 |
9 |
147 |
1 |
|
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Gross ($) in Millions |
122 |
16 |
98 |
64 |
130 |
117 |
97 |
90 |
53 |
95 |
215 |
25 |
24 |
295 |
44 |
LOADING...
Click the icon to view the critical values of the Pearson correlation coefficient r.
The regression equation is
y=nothing+nothingx.
(Round to one decimal place as needed.)
The best predicted gross for a movie with a
$110
million budget is
$nothing
million.
The regression equation is
y^ =20.1+1.3*x
predicted val=20.1+110*1.3= | 163.1 |
(please try 163 if required to whole number)
isted below are paired data consisting of movie budget amounts and the amounts that the movies...
Listed below are paired data consisting of movie budget amounts and the amounts that the movies grossed Find the regression equation, letting the budget be the predictor (x) variable. Find the best predicted amount that a movie will gross if its budget is $105 million. Use a significance level of a 0.05 Budget (S)in Millions Gross (S) in Millions 41 18 111 70 70 57 121 68 11 64 122 17 13 147 50 113 18 105 64 114 116...
Listed below are paired data consisting of movie budget amounts and the amounts that the movies grossed. Find the regression equation, letting the budget be the predictor (x) variable. Find the best predicted amount that a movie will gross if its budget is $140 million. Use a significance level of α=0.05. Budget ($) in Millions Gross ($) in Millions 41 122 23 12 113 102 74 ...
This Question: 1 pt 10 of 10 (7 complete) This Quiz: 10 pts possible A Question Help O Listed below are paired data consisting of movie budget amounts and the amounts that the movies grossed. Find the regression equation, letting the budget be the predictor (x) variable. Find the best predicted amount that a movie will gross if its budget is $125 million. Use a significance level of a = 0.05. Budget ($)in Millions 39 24 114 66 80 53...
The best predicted gross for a movie with a
$125
million budget is............million.
co Use the given data to find the equation of the regression line. Examine the scatterplot and identify a characteristic of the data that is ignored by the regression line. х 11 y 12.29 12 12.17 8 10.68 5 6.11 14 9 10.93 11.55 6 7.97 13 11.71 10 12.08 4 3.93 7 9.49 Ý=+* (Round to two decimal places as needed.) Create a scatterplot of the...
VUL. LAUMIVOISIUNUL 2 This Question: 3 pts 1 of 25 (4 complete This Test: 100 pts possible the reason a ewo 1 ta m 182 0 i ng the budget be the predictor 3 103 6 Listed below are pared data consisting of movie budget amounts and the amounts that the movies grossed budget is $135 million Use a significance level of 0.05. Budget (in Millions A 20 110 0 10 6 Gross (5) 108 21 104 114 117 Click...
11 1 51 21 11 115 111 of the Proton - X NOTE Sot 11 7 FR KE - Listed below are paired data consisting of movie budget amounts and the amounts that the movies grossed. Find the regression equation, letting the budget be the predictor (x) variable. Find the best predicted amount that a movie will gross if its budget is $140 million. Use a significance level of a = 0.05. Budget ($)in Millions 41 21 120 72 71...
The best predicted number of Nobel
Laureates when the number of internet users per 100 is 78.4 is
....... round to one decimal place as needed
The best predicted gross for a movie with a $10 million budget
is ...........million. (Round to one decimal place as
needed.)
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 78.4 Internet users per 100 people. How does...
The Minitab output shown below was obtained by using paired data consisting of weights (in lb) of 28 cars and their highway fuel consumption amounts (in mi/gal). Along with the paired sample data, Minitab was also given a car weight of 4500 lb to be used for predicting the highway fuel consumption amount. Use the information provided in the display to determine the value of the linear correlation coefficient. (Be careful to correctly identify the sign of the correlation coefficient.)...
Question Help 3.3.9 The Minitab output shown below was obtained by using paired data consisting of weights (in b) of 29 cars and their highway fuel consumption amounts (in migal). Along with the paired sample data, Minitab was also given a car weight of 3000 lb to be used for predicting the highway fuel consumption amount. Use the information provided in the display to determine the value of the linear correlation coefficient. (Be careful to correctly identify the sign of...
2.) The data set named "HW 6.2" contains a random sample of 35 movies released in 2008 collected from the Internet Movie Database (IMDb). The goal of this problem is to explore if the information available soon after a movie's theatrical release can successfully predict total revenue. All dollar amounts (i.e., variables "Budget", "Opening", and "USRevenue") are measured in millions of dollars. . Investigate the relationship between the explanatory variable "Budget" and response variable "USRevenue" by doing the following: a....