A linear regression model was fit to predict how much money a customer would spend at an online retailer (in $) based on the amount of time they were browsing the website (ranging between 1 and 100 minutes) along with the quadratic term for time. The coefficients table from a statistical applicationoutput is given below:

Coefficients: Estimate Std. Error t value Pr()|tl) (Intercept) 6.902146 0. 900384 7. 666 9.41e-14 * ** time 1 . 598175 0 . 122716 13. 023