Would it be appropriate for the real estate agent to use this model to make a prediction about the number of days a house that is price $120 above market value would sit vacant? A. Yes, it would be appropriate because R2 is close to 1, and $120 is close to the given data values B. No, it would not be appropriate becausee $120 is an interpolation value C. Yes, it would be appropriate because this situation should be modeled by an increasing linear function D. No, it would not be appropriate because r2 is not close to 1
Would it be appropriate for the real estate agent to use this model to make a prediction about the number of days a house that is price $120 above market value would sit vacant? A. Yes, it would be appropriate because R2 is close to 1, and $120 is close to the given data values B. No, it would not be appropriate becausee $120 is an interpolation value C. Yes, it would be appropriate because this situation should be modeled by an increasing linear function D. No, it would not be appropriate because r2 is not close to 1
Chapter6: Exponential And Logarithmic Functions
Section: Chapter Questions
Problem 33PT: Enter the data from Table 2 into a graphing calculator and graph the ranking scatter plot. Determine...
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70
Would it be appropriate for the real estate agent to use this model to make a prediction about the number of days a house that is price $120 above market value would sit vacant?
A. Yes, it would be appropriate because R2 is close to 1, and $120 is close to the given data values
B. No, it would not be appropriate becausee $120 is an interpolation value
C. Yes, it would be appropriate because this situation should be modeled by an increasing linear
D. No, it would not be appropriate because r2 is not close to 1
Transcribed Image Text:A real estate agent wants to develop a model for the number of days a rental property sits vacant based on how much the rental price is
compared to the market value. The given graph shows the rental price for 15 of the real estate agent's previous rental properties compared to
market value and number of days the house sat vacant. The real estate agent fit the data with an exponential function, which has an 2 value
0.83.
|Number of days house sat vacant
55
50
45
40
35
30
25
20
150
10-
5
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