Please note that the steps show rounded numbers, but that the final answers to the problems are calculated without rounding.
| Problem | Part | Solution |
|---|---|---|
| 1 | - | |
| 2 | - | \(\beta_0\) is the parameter y-intercept for the population \(\beta_1\) is the parameter slope for the population. \(\epsilon\) is the error term–a normal random variable. |
| 3 | A | There is a linear relationship between X and Y. - Yes points on the scatter plot are close together and in a ‘hotdog’ shape. |
| 3 | B | The error term \(\epsilon\) is normally distributed - Yes. Made a QQ plot of the residuals and the points are close to linear. |
| 3 | C | The variance of the error terms is constant for all values of X - Yes there is no megaphone shape in the residual scatter plot. |
| 3 | D | X’s are fixed and measured without error. (In other words, the X’s can be considered as known constants.) We will assume that X’s have been measured accurately and precisely. |
| 3 | E | The observations are independent. - We will assume that the Y’s are independent. |
| 4 | A | \(H_0: \beta_1 = 0\) \(H_a: \beta_2 \neq 0\) |
| 4 | B | \(\text{Let alpha} = 0.05\) |
| 4 | C | It is a t-test statistic \(t = 22.675\) |
| 4 | D | \(\text{P-value} = 0.000000000000508 < 0.05\) Therefore we reject the null hypothesis. |
| 4 | E | We have sufficient evidence to suggest that there is a linear relationship between the head length and the body length of the Gharial crocodiles. |
| 5 | - | The 95% confidence interval for the true slope of the regression line is (6.704, 8.096) |