Temperature (x) 65 70 75 80 85 90 95 100 105 Number of ice cream cones...

Temperature (x)	65	70	75	80	85	90	95	100	105
Number of ice cream cones sold per hour (y)	8	10	11	13	12	16	19	22	23

Calculate the linear correlation coefficient r, for temperature (x) and number of ice cream cones sold per hour (y). (round to 3 decimal place)
Is there a linear relation between the two variables x, and y? If yes, indicate if the relationship is positive or negative. (Hint : use the Critical Value table)
Construct the least squares regression line for temperature (x) and number of ice cream cones sold per hour (y).(round to 3 decimal place)
Predict the number of ice cream cones sold per hour when the temperature is 88º. (round to nearest whole number)
Would it be reasonable to use the least squares regression line to predict the number of ice cream cones sold when it is 50 degrees?

Bonus Question Read this week announcement and answer the following questions for a given regression line the week #3 announcement.

a) Interpret the slope?

b) Can you interpret y-intercept? Explain your answer.

c) Explain, why we should not use the given regression line to predict distance when club-head speed is 140 mph?

Expert Solution

orchestra answered 1 year ago

Permissive Authoritative Authoritarian 70 70 55 90 80 80 90 90 75 90 70 67 M=85...

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100 80 55 105 60 85 30 23 100 110 105 95 105 60 110 120...

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C++ You are to input the following numbers from a file: 75 80 90 95 100...

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The high temperature (in degrees Fahrenheit), x, and the ice cream sales (in dollars) for a...

The high temperature (in degrees Fahrenheit), x, and the ice cream sales (in dollars) for a local store, y, are related by the regression line equation y = -392.966 + 8.791x. Find the amount of sales predicted by the model if the high temperature is x = 94°F. Give your answer as a monetary amount rounded to the nearest cent.

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46 42 37 52 58 36 75 72 90 65 78 80 56 40 48 60...

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z = [ 100 93 90 89 80 79 78 75 67 60 45 42 41...

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