"please do an analysis

Regression Analysis: SCALL versus Q

The regression equation is

SCALL = 79.0 + 0.114 Q

Predictor Coef SE Coef T P

Constant 78.968 4.401 17.95 0.000

Q 0.1145 0.1570 0.73 0.477

S = 13.8908 R-Sq = 3.2% R-Sq(adj) = 0.0%

Analysis of Variance

Source DF SS MS F P

Regression 1 102.5 102.5 0.53 0.477

Residual Error 16 3087.3 193.0

Total 17 3189.8

Unusual Observations

Obs Q SCALL Fit SE Fit Residual St Resid

6 91.0 97.00 89.38 11.81 7.62 1.04 X

8 11.0 118.00 80.23 3.49 37.77 2.81R

R denotes an observation with a large standardized residual.

X denotes an observation whose X value gives it large leverage.

The value of r^2 squared is the proportion of total variation in the n observed values of y that is explained by the simple linear regression model. The closer the value is to r^2, the larger the proportion of the total variation that is explained by the model. In this case, r^2= 0.032 which is extremely low and suggests that there is little support for the model being a predictor of y in terms of x. Can we get a better model? Comments welcome by all!

"

Regression Analysis: SCALL versus Q

The regression equation is

SCALL = 79.0 + 0.114 Q

Predictor Coef SE Coef T P

Constant 78.968 4.401 17.95 0.000

Q 0.1145 0.1570 0.73 0.477

S = 13.8908 R-Sq = 3.2% R-Sq(adj) = 0.0%

Analysis of Variance

Source DF SS MS F P

Regression 1 102.5 102.5 0.53 0.477

Residual Error 16 3087.3 193.0

Total 17 3189.8

Unusual Observations

Obs Q SCALL Fit SE Fit Residual St Resid

6 91.0 97.00 89.38 11.81 7.62 1.04 X

8 11.0 118.00 80.23 3.49 37.77 2.81R

R denotes an observation with a large standardized residual.

X denotes an observation whose X value gives it large leverage.

The value of r^2 squared is the proportion of total variation in the n observed values of y that is explained by the simple linear regression model. The closer the value is to r^2, the larger the proportion of the total variation that is explained by the model. In this case, r^2= 0.032 which is extremely low and suggests that there is little support for the model being a predictor of y in terms of x. Can we get a better model? Comments welcome by all!

"

### Recently Asked Questions

- Why did the criollos decide to become involved in politics after abstaining from participation for so long? Why could Latin America not follow in the political

- Refer to Scenario 1.2 . The statement that an increase in automobile emissions causes an increase in global warming is an example of

- A researcher studying apple maggot flies marks 180 apple maggot flies in an apple orchid in Michigan . The next day , she collects 70 flies , and finds that 14