In: Statistics and Probability
We are interested in studying the linear relationship between someone's age and how much they spend on travel. The following data is provided:
| Amount Spent on Travel | Age |
| 850 | 39 |
| 997 | 43 |
| 993 | 50 |
| 649 | 59 |
| 1265 | 25 |
| 680 | 38 |
Find beta1 (b1).
| a. |
-12.9056 |
|
| b. |
-0.0325 |
|
| c. |
12.9056 |
|
| d. |
3.5933 |
We are interested in studying the linear relationship between someone's age and how much they spend on travel. The following data is provided:
| Amount Spent on Travel | Age |
| 850 | 39 |
| 997 | 43 |
| 993 | 50 |
| 649 | 59 |
| 1265 | 25 |
| 680 | 38 |
Find beta0 (b0).
| a. |
11688.17 |
|
| b. |
-11.645.84 |
|
| c. |
359.33 |
|
| d. |
1452.00 |
b1
| a. |
-12.9056 |
b0
| d. |
1452.00 |
Regression output : Assuming the equation is the form : y = b0 + b1x
