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6 March, 08:45

A regression model is used to forecast sales based on advertising dollars spent. The regression line is y=500+35x and the coefficient of determination is. 90. Which is the best statement about this forecasting model? a. For every $35 spent on advertising, sales increase by $1.

b. Even if no money is spent on advertising, the company realizes $35 of sales.

c. The correlation between sales and advertising is positive.

d. The coefficient of correlation between sales and advertising is 0.81.

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  1. 6 March, 09:08
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    The correlation between sales and advertising is positive.

    Step-by-step explanation:

    For every $35 spent on advertising, sales increase by $1

    Is FALSE, since y = 500 + 35 x $35, sales increase more than $1

    Even if no money is spent on advertising, the company realizes $35 of sales

    Is FALSE, if no money is spent, the sales amount to $ 500 (when X = 0)

    The coefficient of correlation between sales and advertising is 0.81

    Is FALSE, since R² = 0.9. The coefficient of correlation = R = 0.94, not 0.81
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