answersLogoWhite

0


Best Answer

The sign is negative.

User Avatar

Wiki User

13y ago
This answer is:
User Avatar
More answers
User Avatar

Alisha Kight-Burton

Lvl 2
3y ago

ghjjjjj

This answer is:
User Avatar

User Avatar

Anonymous

Lvl 1
3y ago

^

This answer is:
User Avatar

Add your answer:

Earn +20 pts
Q: What is the sign of slope of the regression line if the correlation coefficient is -0.15?
Write your answer...
Submit
Still have questions?
magnify glass
imp
Continue Learning about Other Math

When all of the points fall on the regression line what is the value of the correlation coefficient?

1 or -1


What negative correlation indicate?

the negative sign on correlation just means that the slope of the Least Squares Regression Line is negative.


Is the slope of a line the coefficient of the x-term in the line?

Yes, the slope of a line is the coefficient of the x-term in the line.


What is a line that shows the correlation between two data sets called?

There is no line that shows the correlation between two data sets. The correlation is a variable that ranges between -1 and +1.You may be thinking about regression which, although related, is not the same thing.There is no line that shows the correlation between two data sets. The correlation is a variable that ranges between -1 and +1.You may be thinking about regression which, although related, is not the same thing.There is no line that shows the correlation between two data sets. The correlation is a variable that ranges between -1 and +1.You may be thinking about regression which, although related, is not the same thing.There is no line that shows the correlation between two data sets. The correlation is a variable that ranges between -1 and +1.You may be thinking about regression which, although related, is not the same thing.


What can you say about a slope a regression line for variables that are negatively associated?

The slope will be negative.The slope will be negative.The slope will be negative.The slope will be negative.

Related questions

What is regression coefficient and correlation coefficient?

The strength of the linear relationship between the two variables in the regression equation is the correlation coefficient, r, and is always a value between -1 and 1, inclusive. The regression coefficient is the slope of the line of the regression equation.


When doing linear regression if the correlation coefficient is positive the slope of the line is negative?

False.


What is the relationship between correlation coefficient and linear regreassion?

A correlation coefficient is a value between -1 and 1 that shows how close of a good fit the regression line is. For example a regular line has a correlation coefficient of 1. A regression is a best fit and therefore has a correlation coefficient close to one. the closer to one the more accurate the line is to a non regression line.


When all of the points fall on the regression line what is the value of the correlation coefficient?

1 or -1


Can A regression equation have a negative coefficient of correlation and a negative coefficient of determination?

It's not quite possible for the coefficient of determination to be negative at all, because of its definition as r2 (coefficient of correlation squared). The coefficient of determination is useful since tells us how accurate the regression line's predictions will be but it cannot tell us which direction the line is going since it will always be a positive quantity even if the correlation is negative. On the other hand, r (the coefficient of correlation) gives the strength and direction of the correlation but says nothing about the regression line equation. Both r and r2 are found similarly but they are typically used to tell us different things.


What negative correlation indicate?

the negative sign on correlation just means that the slope of the Least Squares Regression Line is negative.


Distinguish between correlation and regression?

Correlation is a measure of the degree of agreement in the changes (variances) in two or more variables. In the case of two variables, if one of them increases by the same amount for a unit increase in the other, then the correlation coefficient is +1. If one of them decreases by the same amount for a unit increase in the other, then the correlation coefficient is -1. Lesser agreement results in an intermediate value. Regression involves estimating or quantifying this relationship. It is very important to remember that correlation and regression measure only the linear relationship between variables. A symmetrical relationshup, for example, y = x2 between values of x with equal magnitudes (-a < x < a), has a correlation coefficient of 0, and the regression line will be a horizontal line. Also, a relationship found using correlation or regression need not be causal.


What is the slope b of the least squares regression line y equals a plus bx for these data?

The graph and accompanying table shown here display 12 observations of a pair of variables (x, y).The variables x and y are positively correlated, with a correlation coefficient of r = 0.97.What is the slope, b, of the least squares regression line, y = a + bx, for these data? Round your answer to the nearest hundredth.2.04 - 2.05


Is the slope of a line the coefficient of the x-term in the line?

Yes, the slope of a line is the coefficient of the x-term in the line.


What is Definition of linear regression and correlation in statistics?

Whenever you are given a series of data points, you make a linear regression by estimating a line that comes as close to running through the points as possible. To maximize the accuracy of this line, it is constructed as a Least Square Regression Line (LSRL for short). The regression is the difference between the actual y value of a data point and the y value predicted by your line, and the LSRL minimizes the sum of all the squares of your regression on the line. A Correlation is a number between -1 and 1 that indicates how well a straight line represents a series of points. A value greater than one means it shows a positive slope; a value less than one, a negative slope. The farther away the correlation is from 0, the less accurately a straight line describes the data.


Which is strongest value for correlation coefficient -0.75 and 0.25?

The further the correlation coefficient is from 0 (ie the closer to ±1) the stronger the correlation.Therefore -0.75 is a stronger correlation than 0.25The strength of the correlation is dependant on the absolute value of the correlation coefficient; the sign of the correlation coefficient gives the "relative" slope of correlation line:+ve (0 to +1) means that as one variable increases the other also increases;-ve (0 to -1) means that as one variable increases the other decreases.


What is the difference between correlation and regression?

correlation we can do to find the strength of the variables. but regression helps to fit the best line