A popular television show recently released a video preview for the upcoming season on its website. As fans of the show discover the video, the number of views of the preview video has grown each day during the last 2 weeks. The number of days since the release of the video and the natural log of the number of video views is shown in the scatterplot.     Based on the scatterplot and residual plot, what type of model would be appropriate for summarizing the relationship between days and number of views? An exponential model is appropriate because the residual plot does not show a clear pattern. A linear model is appropriate because the scatterplot shows a strong, positive linear relationship. A power model is appropriate because the scatterplot of days and natural log of views is strong and linear. An exponential model is appropriate because the relationship between days and the natural log of views is linear, and the residual plot does not show a clear pattern.

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A popular television show recently released a video preview for the upcoming season on its website. As fans of the show discover the video, the number of views of the preview video has grown each day during the last 2 weeks. The number of days since the release of the video and the natural log of the number of video views is shown in the scatterplot.

 

 

Based on the scatterplot and residual plot, what type of model would be appropriate for summarizing the relationship between days and number of views?

An exponential model is appropriate because the residual plot does not show a clear pattern.
A linear model is appropriate because the scatterplot shows a strong, positive linear relationship.
A power model is appropriate because the scatterplot of days and natural log of views is strong and linear.
An exponential model is appropriate because the relationship between days and the natural log of views is linear, and the residual plot does not show a clear pattern.
views of the preview video has grown each day during
the last 2 weeks. The number of days since the release
of the video and the natural log of the number of video
views is shown in the scatterplot.
An exponential model is appropriate because the
residual plot does not show a clear pattern.
A linear model is appropriate because the scatterplot
shows a strong, positive linear relationship.
In(Views) vs. Days
O A power model is appropriate because the
scatterplot of days and natural log of views is strong
10
and linear.
9.5
An exponential model is appropriate because the
relationship between days and the natural log of
views is linear, and the residual plot does not show a
8.5
clear pattern.
7.5
7
6.5
6
5.5
4 6
10
12 14
16
Days
2.
으 9
In(Views)
Transcribed Image Text:views of the preview video has grown each day during the last 2 weeks. The number of days since the release of the video and the natural log of the number of video views is shown in the scatterplot. An exponential model is appropriate because the residual plot does not show a clear pattern. A linear model is appropriate because the scatterplot shows a strong, positive linear relationship. In(Views) vs. Days O A power model is appropriate because the scatterplot of days and natural log of views is strong 10 and linear. 9.5 An exponential model is appropriate because the relationship between days and the natural log of views is linear, and the residual plot does not show a 8.5 clear pattern. 7.5 7 6.5 6 5.5 4 6 10 12 14 16 Days 2. 으 9 In(Views)
5.5
2 4 6 8 10 12 14 16
Days
Residuals vs. Days
0.2
0.15
0.1
0.05
-0.05
-0.1
-0.15
--0.2
6 8
10 12 14 16
Days
4.
2.
Residual
Transcribed Image Text:5.5 2 4 6 8 10 12 14 16 Days Residuals vs. Days 0.2 0.15 0.1 0.05 -0.05 -0.1 -0.15 --0.2 6 8 10 12 14 16 Days 4. 2. Residual
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