An exponential model is appropriate because the residual plot does not show a clear pattern. O 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.
Correlation
Correlation defines a relationship between two independent variables. It tells the degree to which variables move in relation to each other. When two sets of data are related to each other, there is a correlation between them.
Linear Correlation
A correlation is used to determine the relationships between numerical and categorical variables. In other words, it is an indicator of how things are connected to one another. The correlation analysis is the study of how variables are related.
Regression Analysis
Regression analysis is a statistical method in which it estimates the relationship between a dependent variable and one or more independent variable. In simple terms dependent variable is called as outcome variable and independent variable is called as predictors. Regression analysis is one of the methods to find the trends in data. The independent variable used in Regression analysis is named Predictor variable. It offers data of an associated dependent variable regarding a particular outcome.
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preview for the upcoming season on its website. As fans
of the show discover the video, the number of views of
Based on the scatterplot and residual plot, what type of
model would be appropriate for summarizing the
relationship between days and number of views?
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.
O A linear model is appropriate because the scatterplot
shows a strong, positive linear relationship.
In(Views) vs. Days
A power model is appropriate because the scatterplot
of days and natural log of views is strong and linear.
10
O 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
9.5
9.
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8.
pattern.
7.5
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6.5
In(Views)"
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10
14
16
Days
Residuals vs. Days
0.2
0.15
0.1
0.05
-0.05
-0.1
-0.15
-0.2
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10 12
14
16
Days
Residual
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