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D Question 3 10 pts Multiple regression analysis - regression model with more than one independent (predicting) variable: ŷ = a + b1x1 + b2x2 +....+bnxn Suppose that a marketing firm collected data over the past 12 months for the number of new clients and conducted a regression analysis. They learned that the number of new clients per month, ŷ, is associated with x1, the sales improvement index of the active clients in the previous month, and x2, the consumer confidence index of the previous month according to the following equation ŷ = 17.65 + 0.025x1 + 0.05x2. If the sales improvement index is 18 for active clients and the consumer confidence index is 78, the new client forecast for the next month is how many new clients? Enter a whole number.

          D Question 3
10 pts
Multiple regression analysis - regression model with more than one independent (predicting) variable: ŷ = a + b1x1 + b2x2 +....+bnxn
Suppose that a marketing firm collected data over the past 12 months for the number of new clients and conducted a regression analysis. They learned that the number of
new clients per month, ŷ, is associated with x1, the sales improvement index of the active clients in the previous month, and x2, the consumer confidence index of the
previous month according to the following equation ŷ = 17.65 + 0.025x1 + 0.05x2. If the sales improvement index is 18 for active clients and the consumer confidence
index is 78, the new client forecast for the next month is how many new clients? Enter a whole number.

d question 3 10 pts multiple regression analysis regression model with more than one independent predicting variable y a b1x1 b2x2 bnxn suppose that a marketing firm collected data over the 79026

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