Kindly look at the uploaded images. Then, answer the following question with explanation and details:

The Question is:

1. Plot the regression line.
2. Find the residuals.
3. Graph the residual plot.
4. Find the three types of variation.

The uploaded images are here;

Pretend that you want to study the linear relationship between students' numerical grades and number of hours spent studying before final exams. Pick a sample of six students and record their GPA and number of hours spent studying (pick numbers of your own choice). a. Graph the scatter plot. b. Compute the value of the correlation coefficient. c. Test the significance of the correlation coefficient. Use alpha equal to 0.05 d. Find the equation of the regression line. (a) The scatter plot. The scatter plot presents the time spent on studying that affects GPA. It emphasizes that the greater number of hours spent on studying. As a result, the higher GPA student can gain. Their relationship varies directly which means they are positively correlated. Student Number of hours spent on studying GPA A 2 B 5 1.8 C 6 D g 2.9 F 13 3.5 F 20 4 (b) The value of the correlation coefficient r is r = 0.9606. For the calculation of correlation coefficient r, a positive coefficient r means that the x and y data values are positively correlated too.Tine V3. 631 so ._,. 1n 0 15- I m 6PA 1.5 n; 15 10- O 2 D 1 a a I la r2 14 la II 10 12 14 if\": L: 3 (c) The number of hours which is spent in studying and earned GPA are moderately positively correlated, r(4) = 0.9606, p = 0.002298. Since the p-value = 0.002298 is