rom the scatter plot, which of the following is FALSE? Scatterplot of Gradient of Beach Slope vs Diameter of Granules of Sands 0.15 0.20 0.25 0.30 0.35 Diameter of Granules of Sands (mm) O The regression line minimizes the sum of the squared errors. O The value of the coefficient of determination is positive. The smaller the distance between observed data points and the regression line, the lower the percentage of unexplained variation. We can reject the null hypothesis since there is positive linear relationship between the dependent and independent variables. Gradient of Beach Slope (degree)

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rom the scatter plot, which of the following is FALSE?
Satterplot of Gradient of Beach Slope vs Diameter of Granules of Sands
0.15
0.20
0.25
0.30
0.35
Diameter of Granules of Sands (mm)
The regression line minimizes the sum of the squared errors.
The value of the coefficient of determination is positive.
The smaller the distance between observed data points and the regression line, the
lower the percentage of unexplained variation.
We can reject the null hypothesis since there is positive linear relationship between
the dependent and independent variables.
Gradient of Beach Slope (degree)
Transcribed Image Text:rom the scatter plot, which of the following is FALSE? Satterplot of Gradient of Beach Slope vs Diameter of Granules of Sands 0.15 0.20 0.25 0.30 0.35 Diameter of Granules of Sands (mm) The regression line minimizes the sum of the squared errors. The value of the coefficient of determination is positive. The smaller the distance between observed data points and the regression line, the lower the percentage of unexplained variation. We can reject the null hypothesis since there is positive linear relationship between the dependent and independent variables. Gradient of Beach Slope (degree)
Which of the following is FALSE? *
The residuals in a regression model are assumed to have a zero mean.
Data point below the regression line, the residual is negative.
The residuals in a regression model are assumed to have increasing mean.
The regression model assumes the residuals are normally distributed.
Transcribed Image Text:Which of the following is FALSE? * The residuals in a regression model are assumed to have a zero mean. Data point below the regression line, the residual is negative. The residuals in a regression model are assumed to have increasing mean. The regression model assumes the residuals are normally distributed.
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