Below data covers 66 observations of students’ GPA and Hours studied for a given year. 1. Using boxplots, examine distribution of each of GPA and Hours studied variable. Show and describe if there is/are suspected outlier for any of the variable. What is mean and standard deviation for each variable and briefly explain what they imply about the distribution of each variable. 2. What is the explanatory and response variable in the given case. Find and explain the correlation and coefficient of determination. Draw the scatter plot and find the trend line. Label your scatter plot. Briefly explain scatterplot. 3. Run the least square regression line for the data and describe the regression line in terms of intercept, and slope. Clearly explain what does slope of the regression line explains.
Below data covers 66 observations of students’ GPA and Hours studied for a given year.
1. Using boxplots, examine distribution of each of GPA and Hours studied variable. Show and
describe if there is/are suspected outlier for any of the variable. What is mean and standard deviation for each variable and briefly explain what they imply about the distribution of each variable.
2. What is the explanatory and response variable in the given case. Find and explain the
correlation and coefficient of determination. Draw the
3. Run the least square regression line for the data and describe the regression line in terms of intercept, and slope. Clearly explain what does slope of the regression line explains.
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