## What does _cons mean in Stata?

The last variable (_cons) represents the constant, also referred to in textbooks as the Y intercept, the height of the regression line when it crosses the Y axis. In other words, this is the predicted value of science when all other variables are 0. k. Coef. –

**What does Collinearity mean in Stata?**

The term collinearity implies that two variables are near perfect linear combinations of one another. In this section, we will explore some Stata commands that help to detect multicollinearity. We can use the vif command after the regression to check for multicollinearity. vif stands for variance inflation factor.

### What is a Studentized residual used for?

In statistics, a studentized residual is the quotient resulting from the division of a residual by an estimate of its standard deviation. It is a form of a Student’s t-statistic, with the estimate of error varying between points. This is an important technique in the detection of outliers.

**How do you find the regression equation?**

The Linear Regression Equation The equation has the form Y= a + bX, where Y is the dependent variable (that’s the variable that goes on the Y axis), X is the independent variable (i.e. it is plotted on the X axis), b is the slope of the line and a is the y-intercept.

## Is prob F the p-value?

Prob > F is the p-value for the whole model test. Since the Prob > F is less than than 0.05, reject the null hypothesis.

**How do you interpret prob F?**

The value of Prob(F) is the probability that the null hypothesis for the full model is true (i.e., that all of the regression coefficients are zero). For example, if Prob(F) has a value of 0.01000 then there is 1 chance in 100 that all of the regression parameters are zero.

### Why is collinearity bad?

Multicollinearity reduces the precision of the estimated coefficients, which weakens the statistical power of your regression model. You might not be able to trust the p-values to identify independent variables that are statistically significant.

**What VIF is too high?**

A VIF between 5 and 10 indicates high correlation that may be problematic. And if the VIF goes above 10, you can assume that the regression coefficients are poorly estimated due to multicollinearity.

## How to start gnuplot from the terminal prompt?

Now at the shell prompt, start an interactive gnuplot process: gnuplot Note the initial display from the gnuplot program, and the terminal prompt changing from the shell prompt to ‘gnuplot>’, indicating the gnuplot process is accepting terminal input.

**Is there a way to edit commands in gnuplot?**

gnuplot conveniently uses the same type of terminal interface that the bash shell uses, including the ability to recall previously issued commands with the up and down arrow keys, and edit them with the left and right arrow keys. Now explore setting the ranges on the X and Y axes manually.

### How to recall previously issued commands in gnuplot?

Try resizing the graphics window and clicking the ‘replot’ button on the top left of the graphics window. gnuplot conveniently uses the same type of terminal interface that the bash shell uses, including the ability to recall previously issued commands with the up and down arrow keys, and edit them with the left and right arrow keys.

**Where does the plot title go in gnuplot?**

The overall plot title appears along the top edge. Also note that gnuplot saves you the need to retype the name of the data file over again by interpreting a blank file name ”as a repeat of the previous specified file name.