Toolkit 2

Question 1

What is the model structure of linear regression?

Answer 1

Y=3X

When X=2, Y=6

Question 2

What is a bi variate data set?

Answer 2

Has 1 x and 1 y

Question 3

What is a multivariate data set?

Answer 3

Has 1 y and many x’s

Question 4

What is the correlation coefficient?

Answer 4

Measure of the linear correlation between the two variables. 1= TOTAL POSITIVE CORRELATION. 0= NO CORRELATION. -1= TOTAL NEGATIVE CORRELATION

Question 5

What is the R value?

Answer 5

Correlation coefficient

Question 6

What is R squared value?

Answer 6

% variation in Y explained by X

Question 7

Is regression is explained or unexplained?

Is residual explained or unexplained?

Answer 7

Regression is explained

Residual is unexplained

Question 8

What is linear regression?

Answer 8

Modelling the relationship between dependent and independent variable

Question 9

Is 0.004 statistically significant or insignificant?

Answer 9

Insignificant. Anything above 0.005 is significant. Anything below 0.005 is insignificant.

Question 10

What is residual?

Answer 10

Difference between observed and estimated value

Question 11

What is a catch all plot?

Answer 11

Ploy that exaggerates any pattern in residuals

Question 12

What is a well specified catch all plot model?

Answer 12

Residuals have no pattern, will give a ball of points on the catch all plot.

Question 13

What are the labels for dependent and independent variables?

Answer 13

Dependent= V
Independent= X