To further analyze and understand the motives of Loving Organic Foods customer purchasing habits and expenditures, Diligent Consulting Group was requested to complete a final report

Final Report

To further analyze and understand the motives of Loving Organic Foods customer purchasing habits and expenditures, Diligent Consulting Group was requested to complete a final report. The first three reports provided an improved comprehension of customers purchasing habits by simple linear regression analysis. This final report further enhances Loving Organic Foods goal by interpreting additional information such as independent variables to explain the motives of their customers.

Based on Regression Statistics, the following interpretation can be gathered. The coefficient of determination (r-squared) is equal to 69% of total variation in the sample of Annual Amount Spent on Organic Food. Furthermore, reviewing the ANOVA analysis, the global test for statistical significance Interpretation reflects a p-value of equal to 0.00 and is less than the 0.05 so overall regression equation is significant.

4. Your interpretation of the coefficient estimates for all the independent variables.

Analyzing the coefficient estimate, identifies that when the age increases by one unit and other independent variables are kept fixed then estimated Annual Amount Spent on Organic Food is increased by 14.12 units. Additionally, when Annual Income increases by one unit and other independent variables are kept fixed then estimated Annual Amount Spent on Organic Food increased by 0.02 units. Furthermore, the number of People in Household is increased by one unit and other independent variables are kept fixed then estimated Annual Amount Spent on Organic Food is increased by 2222.51 units. When Female customers and other independent variables are kept fixed then estimated Annual Amount Spent on Organic Food equals negative 1892 units. In contrast, when Male customers and other independent variables are kept fixed then estimated Annual Amount Spent on Organic Food is negative 1932 units.

5. Your interpretation of the statistical significance of the coefficient estimates for all the independent variables.

Since the P-Values correspond to Age and Gender is greater than 0.05, this can suggest the insignificant presence in this regression model whereas p-value corresponding Number of People in Household and annual income <0.05 so Number of People in Household and annual income is significantly present in this model. 6. The regression equation with estimates substituted into the equation. (Note: Once the estimates are substituted into the regression equation, it should take a form similar to this: y = 10 +2x1 +1x2 +4x3 +0.9x4) Another request from Loving Organic Foods is the regression equations with estimates substituted into the equation. This equation is expressed as: Annual Amount Spent on Organic Food = -1932.11 + 14.12* Age + 0.02*Annual Income + 2222.51*Number of People in Household 40.50*Gender.Requesting for assistance on the draft report. Please review the addendum/spreadsheet for information to identify what the data suggests. Please provide citations and references. Thank you.

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