Question

What is the difference between the F and T test in linear
regression?

Answer #1

F Test is done to check the overall significance of regression model

Where we have Null hypothesis that the model with no independent variables fits the data as well as your model.

Vs

Alternative hypothesis is your model fits the data better than the intercept-only model.

So here we test overall significance of our regression coefficients

In t test

We cheek that if particular regression coefficient is significant or not

.the null hypothesis is regression coefficient is not significant

Vs

alternative hypothesis is regression coefficient is significant

So t test states the individual significance of regression coefficients

So difference is that

F Test checks overall significance of Regression coefficients

On other hand t test check individual significance of Regression coefficients

What is the Difference between linear regression and multiple
regression analysis?

Explain the difference between simple and multiple linear
regression.
A. Simple linear regression is faster
B. The difference is in how many independent variables used in
the regression model
C. There is no difference
D. There is a difference in the linearity

The F-test for significance in multiple linear regression tests
the same hypothesis as in single linear regression.
True OR False

t/f 20. A residual is the difference between the actual y value
and the predicted y value.
t/f 21. Extrapolation is risky because we have not established a
linear relationship in this area of our scatter diagram.
t/f 22. As a general rule, when making predictions using
multiple regression, the more x variables you add to the equation
the better the prediction.

What is the difference between a t test of independent means and
a t test of dependent means? Provide examples of when you would use
each type of t test.

What is the difference between an F statistic and an F test? or
are they the same thing? (anova)

What is the difference between t-tests and ANOVA versus
regression (one big difference)? Explain it as if you were teaching
someone.

What is the difference between a t test for independent
samples and a t test for related (dependent) samples?
Give an example of when you would use each?

In regression analysis, the F test will provide the
same conclusion as the t test if
Question options:
there is only one dependent variable
there is only one independent variable
there is a positive correlation between x and
y
the y-intercept is positive

In a nonlinear regression model, the parameters or beta
coefficients are linear. Is T or F?
Sampling error depends on the size of the sample relative to the
population and is inherent in any sampling process. Is T or F?
The t-distribution is a family of probability
distributions with a shape similar to the standard normal
distribution. Is T or F?
The complement of an event A consists of all outcomes
in the sample space not in A. Is T...

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