How do we reduce the likelihood of obtaining a Type 1 error?

Lowering the significance level.

What is a regression line?

Lines with the smallest distance to the data points

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Introduction to Regression and Hypothesis Test

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Questions 18

Answers

1
What type of test do we conduct when we test the null H₀=0 against H₁≠0
One-side test
Two-side test
Full test
Estimator test
2
What type of error do we commit if we conclude that a result is a happenstance when it is not?
None of the above
Type 1 error
Regression error
Type II error
3
The change in Y over the change in X is known as?
The slope coefficient
The intercept
The X-coefficient
The X-axis
4
One of the assumptions of a linear model is?
Nonlinear relationship
Curve relationship
None of the above
Straight-line relationship
5
There is always an equality sign under the null hypothesis.
True
False
6
What type of test do we conduct when we test H₀ = 0.4
Two-side test
Full test
One-side test
Estimator test
7
Within statistics, a Type I error is often viewed as being the most serious.
False
True
8
How do we reduce the likelihood of obtaining a Type 1 error?
Leaving the significance level as it is.
Increasing the significance level.
Lowering the significance level.
None of the above.
9
The value of Y when X = 0 is known as?
The intercept
The coefficient
The slope
The X-axis
10
A model with two or more independent variables is referred to as.
Non-linear regression
Univariate regression
Simple linear regression
Multiple regression
11
When does the validity of the estimates in a regression model compromise?
If an equation has omitted variable
All of the above
If you use a wrong estimator
Incorrect functional form.
12
The most common method for fitting a regression line is.
Generalised Methods of Moments.
Vector Auto Regression Method
Value at Risk
Least-squares
13
How does regression model relationships?
All the above
Line of best fit
Historical data
Regression line
14
What is a regression line?
Straight lines that best fit the data
All of the above
Lines with the largest distance to the data points
Lines with the smallest distance to the data points
15
The probability that the outcome observed is not a chance occurrence is referred to as.
Correlation coefficient
Hypothesis tests.
Significance level
Regression coefficient
16
Nonlinear Regression relates the two variables in a….
Poisson relationship
Log-normal relationship
Straight-line relationship
Curved relationship
17
Regression analysis is used for the following.
Testing hypothesis
All of the above
Testing relationship
Prediction
18
The "Beta-Zero" in a regression equation is known as?
The intercept
The coefficient
The X-axis
The slope

Introduction to Regression and Hypothesis Test Flashcards | StudBud

Introduction to Regression and Hypothesis Test

18 termsStudBud Administration8 plays

Imported from external platform

Flashcards18 cardsFPractice quizPHost liveL

Questions 18

Answers

1
What type of test do we conduct when we test the null H₀=0 against H₁≠0
One-side test
Two-side test
Full test
Estimator test
2
What type of error do we commit if we conclude that a result is a happenstance when it is not?
None of the above
Type 1 error
Regression error
Type II error
3
The change in Y over the change in X is known as?
The slope coefficient
The intercept
The X-coefficient
The X-axis
4
One of the assumptions of a linear model is?
Nonlinear relationship
Curve relationship
None of the above
Straight-line relationship
5
There is always an equality sign under the null hypothesis.
True
False
6
What type of test do we conduct when we test H₀ = 0.4
Two-side test
Full test
One-side test
Estimator test
7
Within statistics, a Type I error is often viewed as being the most serious.
False
True
8
How do we reduce the likelihood of obtaining a Type 1 error?
Leaving the significance level as it is.
Increasing the significance level.
Lowering the significance level.
None of the above.
9
The value of Y when X = 0 is known as?
The intercept
The coefficient
The slope
The X-axis
10
A model with two or more independent variables is referred to as.
Non-linear regression
Univariate regression
Simple linear regression
Multiple regression
11
When does the validity of the estimates in a regression model compromise?
If an equation has omitted variable
All of the above
If you use a wrong estimator
Incorrect functional form.
12
The most common method for fitting a regression line is.
Generalised Methods of Moments.
Vector Auto Regression Method
Value at Risk
Least-squares
13
How does regression model relationships?
All the above
Line of best fit
Historical data
Regression line
14
What is a regression line?
Straight lines that best fit the data
All of the above
Lines with the largest distance to the data points
Lines with the smallest distance to the data points
15
The probability that the outcome observed is not a chance occurrence is referred to as.
Correlation coefficient
Hypothesis tests.
Significance level
Regression coefficient
16
Nonlinear Regression relates the two variables in a….
Poisson relationship
Log-normal relationship
Straight-line relationship
Curved relationship
17
Regression analysis is used for the following.
Testing hypothesis
All of the above
Testing relationship
Prediction
18
The "Beta-Zero" in a regression equation is known as?
The intercept
The coefficient
The X-axis
The slope