1) Do you think there is a linear correlation between Movie Ratings and their Runtimes?
Movie Ratings
8.7
8.9
7.6
7.2
7.2
8.1
8.8
6.8
8.7
9.0
8.5
7.9
8.7
9.1
9.0
7.2
8.4
7.5
7.7
9.0
9.3
8.7
6.9
9.2
8.4
9.2
9.0
9.1
8.9
8.2
9.4
8.3
8.1
7.9
9.1
8.7
8.6
7.8
8.4
7.8
Movie runtimes
201
124
136
155
131
161
110
132
116
136
91
127
96
126
129
135
124
116
170
121
175
118
189
117
136
108
195
89
88
122
119
116
126
115
153
143
118
129
144
132
1) Do you think there is a linear correlation between Movie Ratings
and their Runtimes? Explain why or why not before doing any
work!
2) Is there a linear correlation between the data based on the correlation coefficient? Explain.
3) Find the linear regression line and explain what it means in English.
4) Perform a hypothesis test at the 5% level of significance to see if a correlation is significant.
Homework Answers
Add Answer to:
1) Do you think there is a linear correlation between Movie Ratings and their Runtimes?
Compute the correlation coefficient, r, for all five variables (columns). Interpret your findings whether you have determined any relationship between variables. X1 X2 X3 X4 X5 The data (X1, X...
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Compute Regression Analysis for following relationship: The relationship between death rate X1 (USD) vs. population density...
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Compute Regression Analysis for following relationship: The relationship between death rate X1 vs. doctor availability X2. Doctor availability as a Predictor X, then death rate as a Response variable...
Compute Regression Analysis for following relationship: The relationship between death rate X1 vs. doctor availability X2. Doctor availability as a Predictor X, then death rate as a Response variable Y. Get the Regression Output and scatter plot between the variables using data analysis toolpak in Excel. X1= Death rate per 1000 residents. X2= doctor availability per 100,000 residents. X1 X2 8 78 9.3 68 7.5 70 8.9 96 10.2 74 8.3 111 8.8 77 8.8 168 10.7 82 11.7 89...
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An object of weight 1 N is falling vertically. The time vs. speed data can be...
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We consider the multiple linear regression with LIFE (y) as the response variable, and MALE, BIRT...
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We consider a multiple linear regression model with LIFE (y) as the response variable, and MALE (...
We consider a multiple linear regression model with LIFE (y) as
the response variable, and MALE (x1), BIRTH (x2), DIVO (x3), BEDS
(x4), EDUC (x5), and INCO (x6), as predictors.
"STATE" "MALE" "BIRTH" "DIVO" "BEDS" "EDUC" "INCO" "LIFE"
AK 119.1 24.8 5.6 603.3 14.1 4638 69.31
AL 93.3 19.4 4.4 840.9 7.8 2892 69.05
AR 94.1 18.5 4.8 569.6 6.7 2791 70.66
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CO 97.5...
Question 1: Compute the linear regression equation (coefficients) between the “year” variable and the “temperature” variable. In other words, the dependent variable will be the temperature and the ind...
Question 1: Compute the linear regression
equation (coefficients) between the “year” variable and the
“temperature” variable. In other words, the dependent variable will
be the temperature and the independent variable will be “year”
variable. Write down the equation, the correlation coefficient
R and the standard error.
Question 2.
a. Has the annual temperature trend given by
the regression line increased or decreased? Hint: Which of the
regression line coefficients expresses whether the linear
relationship between temperature and time (in years)...
We consider a multiple linear regression model with LIFE (y) as
the response variable, and MALE (x1), BIRTH (x2), DIVO (x3), BEDS
(x4), EDUC (x5), and INCO (x6), as predictors.
"STATE" "MALE" "BIRTH" "DIVO" "BEDS" "EDUC" "INCO" "LIFE"
AK 119.1 24.8 5.6 603.3 14.1 4638 69.31
AL 93.3 19.4 4.4 840.9 7.8 2892 69.05
AR 94.1 18.5 4.8 569.6 6.7 2791 70.66
AZ 96.8 21.2 7.2 536.0 12.6 3614 70.55
CA 96.8 18.2 5.7 649.5 13.4 4423 71.71
CO 97.5...
Question 1: Compute the linear regression
equation (coefficients) between the “year” variable and the
“temperature” variable. In other words, the dependent variable will
be the temperature and the independent variable will be “year”
variable. Write down the equation, the correlation coefficient
R and the standard error.
Question 2.
a. Has the annual temperature trend given by
the regression line increased or decreased? Hint: Which of the
regression line coefficients expresses whether the linear
relationship between temperature and time (in years)...
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