Chat with us, powered by LiveChat

Describe whether a large R2 value means that a regression is significant. Provide reasons for your answer.

Coefficient of Determination

The purpose of this assignment is to learn about the coefficient of determination (R2) statistic as a measure of the fit of a regression line.

R2 is a statistical measure of how close the data are to a fitted regression line. In general, the higher the R2, the better the model fits your data. However, while R2measures goodness of fit, it does not indicate whether a regression model is adequate. You can have a low R2 value for a good model or a high R2 value for a model that does not fit the data.

Research about R2.On the basis of your research and your involvement in public health functions, respond to the following:

  • Find and state a definition of R2 that you feel is easy to understand.
  • In your own words, provide a substantive explanation of what R2 represents.
  • Explain what the statistic R2 is used for in regression analysis.
  • Explain how R2 is affected by sample size.
  • Describe whether a large R2 value means that a regression is significant. Provide reasons for your answer.
  • Describe how you would substantively interpret R2.

Do NOT write in essay form. Just answer each question and please use references from the internet.

Answer
Submitted by Zeek the Geek on Wed, 2016-08-17 03:33

teacher rated 756 times
4.78439
purchased one time
price: $20.00

Coefficient of Determination

body preview (0 words)

file1.docx preview (556 words)

xxxxxxxxxxx xx xxxxxxxxxxxxx

Name

xxxxxxxxxxx

xx xxxxx xx xxx xxxxxxxxxxx of xxxxxxxxxxxxx measures the amount xx xxxxxxxxx xx the xxxxxxxxx variable xxxx xx xxxxxxxxx xx xxx xxxxxxxxx variable xx xxx xxxxxxxxx variable xxxxx xx xxx amount xx xxxxxxxxx in the outcome(dependent) xxxxxxxx that is xxxxxxxxx for xx xxx predictors (independent xxxxxxxxxxxx The R2 can xx xxxxxxxxxx by xxxxxx xxx xxxxxxxxxxx xxxxxxxxxxx xxx squaring it xxxxxxxxxx xx xxxxxxxxx

In other xxxxxx it shows xxx xxxx xxx model/predictors xxx xxxx to xxxxxxx xxx xxxxxxx which is the dependent xxxxxxxxx The R2 xxxxxx xxx xx shows how the differences xx xxx variable xxx xxxxxxxxx xx the differences in another xxxxxxxxx

In regression analysis the R2 xx used to determine xxx xxxx xxx model fits xxx data. xxxx xxx fitted xxxxxxxxxx line is drawn the R2 xxxxxxxx xxx xxxxx the xxxx points are to xxx fitted regression line. xxxx one xxxxx xx the response xxxxxxxx in xxxxxx xxxxxxxxxxx The R2 measures the

– – – more text follows – – –


Last Completed Projects

# topic title discipline academic level pages delivered
6
Writer's choice
Business
University
2
1 hour 32 min
7
Wise Approach to
Philosophy
College
2
2 hours 19 min
8
1980's and 1990
History
College
3
2 hours 20 min
9
pick the best topic
Finance
School
2
2 hours 27 min
10
finance for leisure
Finance
University
12
2 hours 36 min