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A study of ice cream consumption that spanned the springs and summers of three years produced the following multiple regression model which is intended to predict the ice consumption in litres per capita per month. The regression model uses three explanatory variables; price paid for ice cream in dollars ($), family income in $/week and temperature in degrees Celsius. 10 data samples were collected to develop the regression analysis. Refer to the excel output Here Answer the following questions: a) Determine the multiple regression equation that expresses the ice cream consumption in terms of price, income and temperature. b) Interpret the regression coefficient for price. C) Test to determine if the overall regression model is valid at 5% significance level. d) Predict the ice cream consumption for a price of $2.20, income level of $530/week and a temperature of 13 degrees Celsius. e) Conduct individual hypothesis testing to determine whether any of the variables can be dropped. Use 5% significance level