if mx, my, sx, and sy are known, what would be the most helpful additional number to know for calculating the regression line for x and y?

Question

09-12-2022
Mathematics

Answered

if mx, my, sx, and sy are known, what would be the most helpful additional number to know for calculating the regression line for x and y?

Answer :

Other Questions

What would be the price for an 11-mile ride with taxi company B?please, help!!!!!!!

A polynomial function, f(x), with rational coefficients has roots of − 3 and √ 2. find two additional roots: a. 7−√3,2+√6 b. 3−√7,6+√2 c. 7+√3,2−√6 d. 3+√7,6−√2

A popular board game manufacturer was interested in the relationship between the amount of time it takes to play a game and how well that game is rated among bo

A guidance counselor wants to determine if there is a relationship between a student’s number of absences, x, and their grade point average (gpa), y. the given

A nutritionist collects data from 25 popular breakfast cereals. For each cereal, the number of calories per serving is plotted on the x-axis against the number

Lea wants to make two pillows for her new couch. She needs 314 square yards of fabric for the first pillow and 112 square yards of fabric for the second pillow.

Micah's gym is moving into a bigger space, where he can have more stationary bicycles and treadmills. Micah needs both stationary bicycles and treadmills in his

the correlation coefficients between several pairs of stocks are as follows: corr(a, b) = .85; corr(a, c) = .60; corr(a, d) = .45. each stock has an expected re

If you are a male student, what qualities should you look for in a future wife, according to proverbs 31? if you are a female student, what qualities should you

Taneeka borrowed $12,000 for a car for 6 years at an apr of 7. 25%. Her monthly payment will be $206. 3.

awidyarini awidyarini · Answer 1 · 2022-12-18T06:55:46-05:00

If MX, MY, sX, and sY are known, the additional number that would be the most helpful to know for calculating the regression line for X and Y is r.

What is r in line of regression?

In the context of simple linear regression, r means the correlation between the predictor variable, x, and the response variable, y. And r² means the proportion of the variance in the response variable which can be explained by the predictor variable in the regression model.

It is also considered as denotation of the Pearson correlation coefficient, that is a measure of any linear trend between two variables. The value of r ranges between −1 and 1. When r = zero, it means that there is no linear association between the variables.

Learn more about regression line at: https://brainly.com/question/7656407

#SPJ4