Identify the number of the most correct matching term for ea

Identify the number of the most correct matching term for each of these short descriptions.
The expected value of Y given a specific x for a fitted linear regression model
A procedure for fitting a linear model to a response variable with a single independent
variable
A measure for an observation that indicates possible trouble when it exceeds a value of 1
A procedure to assess whether or not the basic model assumptions for a linear regression
are appropriate
Response variable
Mathematical, SSE/(n-p)
Can include investigating a normal probability plot
A unitless measure of a regression model\'s ability to explain the variability in the data;
the measure is between 0 and 1
A plot of sorted standardized residuals versus the corresponding quantiles of the
standard normal
A measure of how much of the total variation in the data is accounted for by a linear
model taking account of the number of regressor variables
1 R-Squared 16 Cook\'s Distance
2 Adjusted R-Squared 17 Residual analysis
3 Correlation coefficient 18 Residuals plot
4 Significance of regression 19 Normal probability plot
5 Significance of a coefficient 20 Mulitcollinearity
6 Confidence interval 21 Overfitting
7 Prediction Interval 22 Extrapolation
8 Least Squares 23 Outliers
9 Maximum Likelihood 24 Influential points
10 Simple linear regression 25 Independent Variable
11 Mulitple linear regression 26 Dependent Variable
12 Logistic Regression 27 Indicator Variable
13 Stepwise Regression 28 Residuals
14 Backward Regression 29 Errors
15 Forward Regression 30 Mean response
31 Estimated variance

that qustion in statistics and parobabilty . can you help me on it

Solution

The expected value of Y given a specific x for a fitted linear regression model-8 Least Squares

----------------------------

A procedure for fitting a linear model to a response variable with a single independent variable-10 Simple linear regression

-----------------------

A measure for an observation that indicates possible trouble when it exceeds a value of 1-3 Correlation coefficient

----------------------

A procedure to assess whether or not the basic model assumptions for a linear regression are appropriate - 20 Mulitcollinearity

--------------------

Response variable-26 Dependent Variable

------------------

Mathematical, SSE/(n-p)-31 Estimated variance

----------------------

Can include investigating a normal probability plot- 23 Outliers

---------------------------

A unitless measure of a regression model\'s ability to explain the variability in the data;the measure is between 0 and 1 -1 R-Squared

-------------------

A plot of sorted standardized residuals versus the corresponding quantiles of the standard normal- 19 Normal probability plot

---------------------

A measure of how much of the total variation in the data is accounted for by a linear model taking account of the number of regressor variables