darnellgee298
10.09.2019 •
Mathematics
Aregression 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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Ответ:
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
Ответ:
1 Answer
tn= any term in the arithmetic sequence.
a= first term.
n= term number/number of terms.
d= common difference.
Step-by-step explanation:
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