1. Based on the following data:

Age	Hours
6	108
4	32
10	200
7	98
12	363
7	98
7	147
11	242
5	75
6	72
11	242
6	72

1. Recall that a linear regression function has the format ????(????)=????????+????. Calculate a linear regression for the data above and indicate the value of a:

1. Recall that a linear regression function has the format ????(????)=????????+????. Calculate a linear regression for the data above and indicate the value of b:

1. Recall that a linear regression function has the format ????(????)=????????+????. Calculate a linear regression for the data above and indicate the value of ????2:

1. Recall that a polynomial regression function has the format ????(????)=????????2+????????+????. Calculate a polynomial regression for the data above and indicate the value of ????:

1. Recall that a polynomial regression function has the format ????(????)=????????2+????????+????. Calculate a polynomial regression for the data above and indicate the value of ????: 

1. Recall that a polynomial regression function has the format ????(????)=????????2+????????+????. Calculate a polynomial regression for the data above and indicate the value of ????: 

1. Recall that a polynomial regression function has the format ????(????)=????????2+????????+????. Calculate a polynomial regression for the data above and indicate the value of ????2: 

1. Considering the regression curve in the chart, estimate the number of cases on day 20. Keep in mind that number of cases is not a decimal value.
9. Considering the regression curve in the chart, estimate the number of cases on day 22. Keep in mind that number of cases is not a decimal value.
2. 
9. Considering the regression curve in the chart, estimate the number of cases on day 22. Keep in mind that number of cases is not a decimal value.

10. Which one of the presented regressions is better suited to describe the data shown below? Choose 1

The linear regression

The quadratic regression

The exponential regression

11. Which of the presented regressions would you actually use to predict the outcome? (choose 1)

The linear regression

The quadratic regression

The exponential regression

None of the presented regressions

30 30 15 25 y=0.3298x2-5.9797x+29.598 R2=0.7996 20 15 16 New cases 10 10 5 S 10 Day 15 20 20 30 30 15 25 y=0.3298x2-5.9797x+29.598 R2=0.7996 20 15 16 New cases 10 10 5 S 10 Day 15 20 20