1. Suppose the following scatterplot shows data relating the number of visitors at Richmond Beach, y, on a day with a high temperature of x, in degrees Fahrenheit. The best fit line/regression line has the equation y = 14.89x – 530.6. y 800- 700- 600 a. Do you expect the correlation between the high temperature and number of visitors to be closer to 1,0, or -1? Briefly explain. 500 400- 300 b. Explain the meaning of the slope of the regression line in terms of the high temperature and the number of visitors that day. 200- 100- 40 50 60 70 80 90 Hlgh temperature X c. What does the model predict for the number of visitors on a day with a high temperature of 80 degrees F? Include units in your answer. d. The actual number of visitors on the 80 degrees F day was 780. Find the residual for that day. Does the model give an overestimate or an underestimate for that day? Number of visitors

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1. Suppose the following scatterplot shows data relating the number of visitors at
Richmond Beach, y, on a day with a high temperature of x, in degrees Fahrenheit.
The best fit line/regression line has the equation
y = 14.89x – 530.6.
y 800-
700-
600
a. Do you expect the correlation between
the high temperature and number of
visitors to be closer to 1,0, or -1? Briefly
explain.
500
400-
300
b. Explain the meaning of the slope of the
regression line in terms of the high
temperature and the number of visitors
that day.
200-
100-
40 50 60 70 80 90
Hlgh temperature X
c. What does the model predict for the
number of visitors on a day with a high
temperature of 80 degrees F? Include units in your answer.
d. The actual number of visitors on the 80 degrees F day was 780.
Find the residual for that day. Does the model give an overestimate or an
underestimate for that day?
Number of visitors
Transcribed Image Text:1. Suppose the following scatterplot shows data relating the number of visitors at Richmond Beach, y, on a day with a high temperature of x, in degrees Fahrenheit. The best fit line/regression line has the equation y = 14.89x – 530.6. y 800- 700- 600 a. Do you expect the correlation between the high temperature and number of visitors to be closer to 1,0, or -1? Briefly explain. 500 400- 300 b. Explain the meaning of the slope of the regression line in terms of the high temperature and the number of visitors that day. 200- 100- 40 50 60 70 80 90 Hlgh temperature X c. What does the model predict for the number of visitors on a day with a high temperature of 80 degrees F? Include units in your answer. d. The actual number of visitors on the 80 degrees F day was 780. Find the residual for that day. Does the model give an overestimate or an underestimate for that day? Number of visitors
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