We calculate the total sum of squares (SST) = 173.71 and the sum of squares due to regression (SSR) = 148.63. Compute the coefficient of determination and comment on the strength of the relationship between x and y.
Added by Robert W.
Step 1
We are given the total sum of squares (SST) and the sum of squares due to regression (SSR). Show more…
Show all steps
Close
Your feedback will help us improve your experience
Adi S and 81 other Intro Stats / AP Statistics educators are ready to help you.
Ask a new question
Labs
Want to see this concept in action?
Explore this concept interactively to see how it behaves as you change inputs.
Key Concepts
Recommended Videos
Estimate the Explained Sum of Squares (SSE) and Total Sum of Squares (SST) for regression if the following information is given: R-squared = 0.0298, SSR = 557,485.51, and n = 1,388.
Rashmi S.
Coefficient of Determination. 1. For the data set below, the estimated regression equation is y = 19 - 4x (the coefficients are exact). Use the table below to show all the details in your calculation of R². Do not simply square the coefficient of correlation or otherwise use technology. Recall that you need only 2 of the following: SST, SSR, SSE. Add the missing column headings that you need.
Sri K.
What would it be the coefficient of determination if the sums of squares due to regression (SSR) is 12.01 and the total sum of squares (SST) is 24.51? 0.63 0.49
Narayan H.
Recommended Textbooks
Elementary Statistics a Step by Step Approach
The Practice of Statistics for AP
Introductory Statistics
Transcript
18,000,000+
Students on Numerade
Trusted by students at 8,000+ universities
Watch the video solution with this free unlock.
EMAIL
PASSWORD