A random sample of 100 cars was taken and data were recorded on the miles per gallon (mpg) in the city and on the highway. The m
ean city mpg was 28 with a standard deviation of 9.2. The mean highway mpg was 35 with a standard deviation of 8.6. The correlation coefficient between city mpg and highway mpg is 0.95. Although a scatterplot is not show, it has been determined that a linear equation is appropriate for the data. Determine the correct value of the slope for the linear model that predicts highway mpg based on city mpg and interpret it in context.
8.75-4.85= 3.90= cost of 6 bananas 3.9/6=0.65= cost of one banana .65*4=2.60= cost of 4 bananas 4.85-2.60= 2.25= cost of 3 apples 2.25/3=.75= cost of an apple
30% of 42 is 12.6$. 42-12.6 = 29.4$ is the price of the pair with discount applied. Tax 7% 29.4 * 7% = 2.06 29.4$ + 2.06$ = 31.46 $ final price with discount and tax applied.
