Question
In: Statistics and Probability
We are interested in studying the linear relationship between someone's age and how much they spend...
-
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 SST.
a. 667.33
b. 153,844.05
c. 264,991.33
d. 196.11
-
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 SSR.
a. 153,844.05
b. 111,147.2
c. 264,991.33
d. 667.33
Solutions
Expert Solution
using excel data analysis tool for regression,steps are: write
data>menu>data>data analysis>regression>enter
required labels>ok> and following o/p is obtained
| Regression Statistics | ||||||
| Multiple R | -0.6476 | |||||
| R Square | 0.4194 | |||||
| Adjusted R Square | 0.2743 | |||||
| Standard Error | 196.1148 | |||||
| Observations | 6 | |||||
| ANOVA | ||||||
| df | SS | MS | F | Significance F | ||
| Regression | 1 | 111147.2 | 111147.3 | 2.89 | 0.1644 | |
| Residual | 4 | 153844.1 | 38461.0 | |||
| Total | 5 | 264991.33 | ||||
| Coefficients | Standard Error | t Stat | P-value | Lower 95% | Upper 95% | |
| Intercept | 1452.0035 | 331.2046 | 4.3840 | 0.0118 | 532.4321 | ######### |
| X | -12.9056 | 7.5917 | -1.7000 | 0.1644 | -33.9835 | 8.1723 |
from here,
SST= 264991.33
SSR = 111,147.2
orchestra answered 3 years agoRelated Solutions
We are interested in studying the linear relationship between someone's age and how much they spend...
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 the correlation coefficient.
a.
0.6476
b.
0.4194
c.
-0.6476
d.
0.5806
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...
We are interested in studying the linear relationship between someone's age and how much they spend...
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...
We are interested in studying the linear relationship between someone's age and how much they spend...
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 the standard error of b1, s-b1 (s sub b1). a.
2.88 b. 5.67 c. 8.29 d. 7.59
We are interested in studying the linear relationship between someone's age and how much they spend...
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 the 99% confidence interval for b1.
a.
(-33.98, 8.17)
b.
(-47.86, 22.05)
c.
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