Ex 1 Consider the following data: x y 1 3 2 7 3 5 4 11 5 14 Sum 15 40 b1 = b0 = Regression equation = Calculate y when x = 4 Calculate sx = Calculate sy = Calculate sxy = Calculate r = Calculate r2 =
Added by Kathryn M.
Step 1
Step 1: Calculate the mean of x and y: Mean of x (x̄) = (1+2+3+4+5)/5 = 3 Mean of y (ȳ) = (3+7+5+11+14)/5 = 8 Show more…
Show all steps
Close
Your feedback will help us improve your experience
Rochan Bakthisaran and 71 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
Rochan B.
Calculate Pearson's r and the best-fit linear regression equation for the following two variables. x y 2 3 6 11 3 6 4 6 7 12 5 2 5 10 3 9
Supreeta N.
Given are five observations for two variables, x and y. xi 1 2 3 4 5 yi 4 6 5 11 14 1. Use the estimated regression equation to predict the value of y when x = 4. 2. Develop the estimated regression equation by computing the values of b0 and b1 using b1 = Σ(xi - x)(yi - y) / Σ(xi - x)^2 and b0 = y - b1x.
Rosina D.
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