Receipt Twitter Activity Movie 14763 219509 The Devil Inside 5796 6405 The Dictator 15829 165128 Paranormal Activity 36871 579288 The Hunger Games 6564 8995 Bridesmaids 7477 11104 Red Tails 9152 8054 Act of Valor A. What is the independent variable (X) and what is the dependent variable (y) I B. Write a null and alternative hypothesis statement C. What is the R-squared value and interpret it's meaning? D. What is the correlation coefficient and interpret it's meaning? E. Predict the receipts for a movie that has a Twitter activity of 100, 000 using the linear regression formula generated after you run the regression analysis in Excel (just like we did in the lecture notes) F At the 95% significance level, is there significant evidence of a relationship between Twitter activity and receipts?

MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Related questions
Question
Receipt
Twitter
Activity
Movie
14763
219509
The Devil Inside
5796
6405
The Dictator
15829
165128
Paranormal Activity
36871
579288
The Hunger Games
6564
8995
Bridesmaids
7477
11104
Red Tails
9152
8054
Act of Valor
A. What is the independent variable (X) and what is the dependent variable (y)
I
B. Write a null and alternative hypothesis statement
C. What is the R-squared value and interpret it's meaning?
D. What is the correlation coefficient and interpret it's meaning?
E. Predict the receipts for a movie that has a Twitter activity of 100, 000 using the linear
regression formula generated after you run the regression analysis in Excel (just like we
did in the lecture notes)
F At the 95% significance level, is there significant evidence of a relationship between
Twitter activity and receipts?
Transcribed Image Text:Receipt Twitter Activity Movie 14763 219509 The Devil Inside 5796 6405 The Dictator 15829 165128 Paranormal Activity 36871 579288 The Hunger Games 6564 8995 Bridesmaids 7477 11104 Red Tails 9152 8054 Act of Valor A. What is the independent variable (X) and what is the dependent variable (y) I B. Write a null and alternative hypothesis statement C. What is the R-squared value and interpret it's meaning? D. What is the correlation coefficient and interpret it's meaning? E. Predict the receipts for a movie that has a Twitter activity of 100, 000 using the linear regression formula generated after you run the regression analysis in Excel (just like we did in the lecture notes) F At the 95% significance level, is there significant evidence of a relationship between Twitter activity and receipts?
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