Selecting Variables for Regression Analysis: Before conducting the linear regression, you need to select suitable variables you will include in your model. Please reflect on the hypotheses you created in part (1) above and any insights you gained from the correlation analysis above. Have your initial hypotheses changed based on the correlation results? Are there any new variables that should be included in the linear regression analysis? Provide a clear and concise 3 justification for each variable you want to add to your regression model, explaining its relevance and potential contribution to addressing the Quantity Wasted issue. Null hypothesis The shelf duration and price of fruits and vegetables do not affect the quantity wasted. Alternative Hypothesis The shelf duration and price of fruits and vegetables affect the quantity wasted. Correlation between quantity wasted and shelf duration of fruits= -0.04631 Correlation between quantity wasted and shelf duration of vegetables= 0.16247 Correlation between quantity wasted and price of fruits = 0.52482 Correlation between quantity wasted and price of vegetables= 0.70298 provide an