4.The owner of an ice cream truck would like to know if the temperature affects the amountof ice cream he sells. The following displays the temperature (in celsius) and ice creamsales (in $) for a sample of days from the past summer.

Day 1 2 3 4 5 6 Mean Standard Deviation

Temp. 23 31 18 24 28 20 24.00 4.86 Sales 290 485 200 395 340 150 310.00 123.98 The correlation between Temperature and Sales is calculated to ber= 0.88 and the equation of the least squares regression line is calculated to be y(hat)=232.03 + 22.58x.

(b)Interpret/Describe the slope of the least squares regression line { y(hat)=232.03 + 22.58x }in this example.

(c)Calculate the residual for Day 5. Show your steps. (d)What fraction of the variation in Sales can be accounted for by its regression onTemperature?