answersLogoWhite

0


Best Answer

The slope will be negative.

The slope will be negative.

The slope will be negative.

The slope will be negative.

User Avatar

Wiki User

โˆ™ 2013-04-03 16:38:10
This answer is:
User Avatar
Study guides

Algebra

20 cards

A polynomial of degree zero is a constant term

The grouping method of factoring can still be used when only some of the terms share a common factor A True B False

The sum or difference of p and q is the of the x-term in the trinomial

A number a power of a variable or a product of the two is a monomial while a polynomial is the of monomials

โžก๏ธ
See all cards
3.74
โ˜†โ˜…โ˜†โ˜…โ˜†โ˜…โ˜†โ˜…โ˜†โ˜…
1195 Reviews
More answers
User Avatar

Wiki User

โˆ™ 2013-04-03 16:38:10

The slope will be negative.

This answer is:
User Avatar

Add your answer:

Earn +20 pts
Q: What can you say about a slope a regression line for variables that are negatively associated?
Write your answer...
Submit
Still have questions?
magnify glass
imp
Related questions

What is the line of regression?

line that measures the slope between dependent and independent variables


When a pair of variables have a positive correlation will the slope in the regression equation always be positive?

Yes


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.


What is negatively correlated?

Two variables are negatively correlated when the slope of the best-fit line that is drawn on the scatter plot with the independent variable on the x-axis and the dependent variable on the y-axis is negative.


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


What is a regression line that is superimposed on a scatter plot?

It guarantees that the slope and intercept are minimized.


The value 11.7 represents the of the graph of the following linear regression equation?

slope


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

False.


What is the sign of slope of the regression line if the correlation coefficient is -0.15?

The sign is negative.


What is true about the y-intercept in the linear regression model?

The value depends on the slope of the line.


How do you plot regression line?

Linear regression looks at the relationship between two variables, X and Y. The regression line is the "best" line though some data you that you or someone else has collected. You want to find the best slope and the best y intercept to be able to plot the line that will allow you to predict Y given a value of X. This is usually done by minimizing the sum of the squares. Regression Equation is y = a + bx Slope(b) = (NΣXY - (ΣX)(ΣY)) / (NΣX2 - (ΣX)2) Intercept(a) = (ΣY - b(ΣX)) / N In the equation above: X and Y are the variables given as an ordered pair (X,Y) b = The slope of the regression line a = The intercept point of the regression line and the y axis. N = Number of values or elements X = First Score Y = Second Score ΣXY = Sum of the product of first and Second Scores ΣX = Sum of First Scores ΣY = Sum of Second Scores ΣX2 = Sum of square First Scores Once you find the slope and the intercept, you plot it the same way you plot any other line!


How do you plot linear regression line?

Linear regression looks at the relationship between two variables, X and Y. The regression line is the "best" line though some data you that you or someone else has collected. You want to find the best slope and the best y intercept to be able to plot the line that will allow you to predict Y given a value of X. This is usually done by minimizing the sum of the squares. Regression Equation is y = a + bx Slope(b) = (NΣXY - (ΣX)(ΣY)) / (NΣX2 - (ΣX)2) Intercept(a) = (ΣY - b(ΣX)) / N In the equation above: X and Y are the variables given as an ordered pair (X,Y) b = The slope of the regression line a = The intercept point of the regression line and the y axis. N = Number of values or elements X = First Score Y = Second Score ΣXY = Sum of the product of first and Second Scores ΣX = Sum of First Scores ΣY = Sum of Second Scores ΣX2 = Sum of square First Scores Once you find the slope and the intercept, you plot it the same way you plot any other line!

People also asked