Regression Statistics Multiple R R Square 0.70955 0.503461 Adjusted R Square 0.410359 Standard Error 2.130054 Observations 20 ANOVA Significance df MS F Regression 3. 73.60593 24.53531 5.40767 0.0092117 Residual 16 72.59407 4.537129 Total 19 146.2 Standard Error Coefficients t Stat Pvalue Lower 95% Upper 95% Intercept 48.63081 6.3247384 7.688984 9.2E-07 35.222968 62.038661 Price of Coke 0.3035 0.1711745 -1.77307 0.09525 -0.6663779 0.0593694 Ad Expenditure 0.342937 0.1655882 2.071021 0.05489 -0.0080947 0.6939678 Pepsi Price 0.23406 0.1393504 1.679653 0.11244 -0.0613493 0.5294699 1. Find and Interpret Adjusted Coefficient of Determination, Adjusted R', and the Correlation Coefficient, R. 2. The ANOVA table gives the F statistic for testing the claim that there is no significant relationship between your all of your independent and dependent variables. The sig. value is your p value. Using p-value decide you should Reject or Accept claim. 3. Write the Fitted Regression line from the results? 4. Decide about significance using the p-value.
Regression Statistics Multiple R R Square 0.70955 0.503461 Adjusted R Square 0.410359 Standard Error 2.130054 Observations 20 ANOVA Significance df MS F Regression 3. 73.60593 24.53531 5.40767 0.0092117 Residual 16 72.59407 4.537129 Total 19 146.2 Standard Error Coefficients t Stat Pvalue Lower 95% Upper 95% Intercept 48.63081 6.3247384 7.688984 9.2E-07 35.222968 62.038661 Price of Coke 0.3035 0.1711745 -1.77307 0.09525 -0.6663779 0.0593694 Ad Expenditure 0.342937 0.1655882 2.071021 0.05489 -0.0080947 0.6939678 Pepsi Price 0.23406 0.1393504 1.679653 0.11244 -0.0613493 0.5294699 1. Find and Interpret Adjusted Coefficient of Determination, Adjusted R', and the Correlation Coefficient, R. 2. The ANOVA table gives the F statistic for testing the claim that there is no significant relationship between your all of your independent and dependent variables. The sig. value is your p value. Using p-value decide you should Reject or Accept claim. 3. Write the Fitted Regression line from the results? 4. Decide about significance using the p-value.
Functions and Change: A Modeling Approach to College Algebra (MindTap Course List)
6th Edition
ISBN:9781337111348
Author:Bruce Crauder, Benny Evans, Alan Noell
Publisher:Bruce Crauder, Benny Evans, Alan Noell
Chapter3: Straight Lines And Linear Functions
Section3.3: Modeling Data With Linear Functions
Problem 12E: Further Verification of Newtons Second LawThis exercise represents a hypothetical implementation of...
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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.
Question
Transcribed Image Text:Regression Statistics
Multiple R
0.70955
R Square
0.503461
Adjusted R
Square
0.410359
Standard Error
2.130054
Observations
20
ANOVA
Significance
df
MS
Regression
73.60593 24.53531 5.40767
0.0092117
Residual
16
72.59407 4.537129
Total
19
146.2
Standard
Coefficients
Error
t Stat
P-value
Lower 95% Upper 95%
Intercept
48.63081
6.3247384 7.688984 9.2E-07
35.222968 62.038661
Price of Coke
-0.3035
0.1711745
-1.77307 0.09525
-0.6663779 0.0593694
Ad Expenditure
0.342937
0.1655882 2.071021 0.05489 -0.0080947 0.6939678
Pepsi Price
0.23406 0.1393504 1.679653 0.11244 -0.0613493 0.5294699
1. Find and Interpret Adjusted Coefficient of Determination, Adjusted R°, and the
Correlation Coefficient, R.
2. The ANOVA table gives the F statistic for testing the claim that there is no
significant relationship between your all of your independent and dependent
variables. The sig. value is your p value. Using p-value decide you should Reject
or Accept claim.
3. Write the Fitted Regression line from the results?
4. Decide about significance using the p-value.
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