An amusement park owner wants to create a linear regression model to predict the number of ice cream cones sold (Y-variable) based on the day's attendance (X-variable). From his collected data he finds the mean number of ice cream cone sales to be 1,200 cones with a standard deviation of 180. The mean daily attendance is 2,000 people, with a standard deviation of 200. The correlation between ice cream cone sales and attendance is r = 0.65. What is the intercept of the linear regression model predicting ice cream cone sales from daily attendance?   200 80 130 30

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An amusement park owner wants to create a linear regression model to predict the number of ice cream cones sold (Y-variable) based on the day's attendance (X-variable). From his collected data he finds the mean number of ice cream cone sales to be 1,200 cones with a standard deviation of 180. The mean daily attendance is 2,000 people, with a standard deviation of 200. The correlation between ice cream cone sales and attendance is r = 0.65.

What is the intercept of the linear regression model predicting ice cream cone sales from daily attendance?

 

200
80
130
30
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