Question

Discuss the reasons and situations in which researchers would want to use linear regression. How would...

Discuss the reasons and situations in which researchers would want to use linear regression. How would a researcher know whether linear regression would be the appropriate statistical technique to use? What are some of the benefits of fitting the relationship between two variables to an equation for a straight line?

Homework Answers

Answer #1

Answer:

A scientist may be keen on utilizing direct relapse in the event that he accepts that there may be straight connections among regressor and subordinate variable.

On the off chance that there's any sign of the linearity between regressor or a change of regressor then there should be motivation to utilize straight relapse.

There are a few advantages of utilizing direct relapse.

Right off the bat, the conditions are a lot easier to reasonable.

Also, there are less number of parameter and subsequently it diminishes the opportunity of over fitting.

Know the answer?
Your Answer:

Post as a guest

Your Name:

What's your source?

Earn Coins

Coins can be redeemed for fabulous gifts.

Not the answer you're looking for?
Ask your own homework help question
Similar Questions
Discuss the reasons and situations in which researchers would want to use linear regression. How would...
Discuss the reasons and situations in which researchers would want to use linear regression. How would a researcher know whether linear regression would be the appropriate statistical technique to use? What are some of the benefits of fitting the relationship between two variables to an equation for a straight line?
Discuss the reasons and possible situations in which researchers would want to use the statistical technique...
Discuss the reasons and possible situations in which researchers would want to use the statistical technique of linear regression. How would a researcher know whether regression was the appropriate statistical technique to use? What are some of the benefits of fitting the relationship between two variables to an equation for a straight line?
Discuss the reasons and situations in which researchers would want to use linear regression. How would...
Discuss the reasons and situations in which researchers would want to use linear regression. How would a researcher know whether linear regression would be the appropriate statistical technique to use? What are some of the benefits of fitting the relationship between two variables to an equation for a straight line? Describe the error in the conclusion. Given: There is a linear correlation between the number of cigarettes smoked and the pulse rate. As the number of cigarettes increases the pulse...
Discuss the reasons and situations in which researchers would want to use linear regression. How would...
Discuss the reasons and situations in which researchers would want to use linear regression. How would a researcher know whether linear regression would be the appropriate statistical technique to use? What are some of the benefits of fitting the relationship between two variables to an equation for a straight line? Describe the error in the conclusion. Given: There is a linear correlation between the number of cigarettes smoked and the pulse rate. As the number of cigarettes increases the pulse...
Identify two situations in which criminologists or criminal justice policy analysts might use linear regression to...
Identify two situations in which criminologists or criminal justice policy analysts might use linear regression to describe and/or test a relationship. One of these must involve a positive hypothesized relationship; one a negative hypothesized relationship. Do not use examples from the text, lecture or live classroom. Does the absence of a straight line relationship (r between -.05 and +.05, for instance) mean that there is no relationship between the variables? Support your conclusion with examples.
1) Regression: a) is a statistical technique that is not influenced by outliers. b) identifies the...
1) Regression: a) is a statistical technique that is not influenced by outliers. b) identifies the resistance of a relationship. c) measures the strength but not the direction of a relationship. d) can be used for prediction. 2) The best-fitting regression line: a) has the smallest total standard error. b) has the smallest slope. c) has the largest total squared error of prediction. d) is the line with the smallest (Y – Ŷ)2 value. If the slope (b) of the...
Concept Questions We've discussed that a linear regression assumes the relationship between variables is linear: it...
Concept Questions We've discussed that a linear regression assumes the relationship between variables is linear: it forms a constant slope. But suppose the data is U-shaped or inverted U-shaped. How would you created a linear regression so the line would follow this data? (hint: think of what the equation for a U-shaped line looks like.) Suppose you applied a scalar to a variable. Then you used both the original variable and the scaled variable as explanatory variables. What would happen...
Discussion 1: Searching for Causes This week examines how to use correlation and simple linear regression...
Discussion 1: Searching for Causes This week examines how to use correlation and simple linear regression to test the relationship of two variables. In both of these tests you can use the data points in a scatterplot to draw a line of best fit; the closer to the line the points are the stronger the association between variables. It is important to recognize, however, that even the strongest correlation cannot prove causation. For this Discussion, review this week’s Learning Resources...
How are the slope and intercept of a simple linear regression line calculated? What do they...
How are the slope and intercept of a simple linear regression line calculated? What do they tell us about the relationship between the two variables? Please provide an example.
When should you not use a correlation? Describe two situations where a correlation would not give...
When should you not use a correlation? Describe two situations where a correlation would not give a good numerical summary of the relationship between two quantitive variables. Illustrate each situation with a scatterplot and write a short paragraph explaining why the correlation would not be appropriate in each of these situations.
ADVERTISEMENT
Need Online Homework Help?

Get Answers For Free
Most questions answered within 1 hours.

Ask a Question
ADVERTISEMENT