I need help with the two questions in bold at the bottom. Thanks! Movie Twitter Activity Receipts The Devil Inside 219509 14763 The Dictator 6405 5796 Paranormal Activity 3 165128 15829 The Hunger Games 579288 36871 Bridesmaids 6564 8995 Red Tails 11104 7477 Act of Valor 9152 8054 What is the independent variable (X) and what is the dependent variable (y) Write a null and alternative hypothesis statement What is the R-squared value and interpret it’s meaning? What is the correlation coefficient and interpret it’s meaning? 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)At the 95% significance level, is there significant evidence of a relationship between Twitter activity and receipts? Do you accept or reject the null hypothesis? Based upon your answers above, provide us with a paragraph (3-4 sentence) conclusion that would be appropriate to explain the results to a senior executive that isn’t as familiar with statistics as you are!
Correlation
Correlation defines a relationship between two independent variables. It tells the degree to which variables move in relation to each other. When two sets of data are related to each other, there is a correlation between them.
Linear Correlation
A correlation is used to determine the relationships between numerical and categorical variables. In other words, it is an indicator of how things are connected to one another. The correlation analysis is the study of how variables are related.
Regression Analysis
Regression analysis is a statistical method in which it estimates the relationship between a dependent variable and one or more independent variable. In simple terms dependent variable is called as outcome variable and independent variable is called as predictors. Regression analysis is one of the methods to find the trends in data. The independent variable used in Regression analysis is named Predictor variable. It offers data of an associated dependent variable regarding a particular outcome.
I need help with the two questions in bold at the bottom. Thanks!
|
Movie |
Twitter Activity |
Receipts |
|
The Devil Inside |
219509 |
14763 |
|
The Dictator |
6405 |
5796 |
|
Paranormal Activity 3 |
165128 |
15829 |
|
The Hunger Games |
579288 |
36871 |
|
Bridesmaids |
6564 |
8995 |
|
Red Tails |
11104 |
7477 |
|
Act of Valor |
9152 |
8054 |
What is the independent variable (X) and what is the dependent variable (y)
Write a null and alternative hypothesis statement
What is the R-squared value and interpret it’s meaning?
What is the
Predict the receipts for a movie that has a Twitter activity of 100,000 using the linear regression formula generated after you run the
At the 95% significance level, is there significant evidence of a relationship between Twitter activity and receipts?
Do you accept or reject the null hypothesis?
Based upon your answers above, provide us with a paragraph (3-4 sentence) conclusion that would be appropriate to explain the results to a senior executive that isn’t as familiar with statistics as you are!
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