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What can you say about a slope a regression line for variables that are negatively associated?
Wiki User
∙ 11y ago
The slope will be negative.
The slope will be negative.
The slope will be negative.
The slope will be negative.
Wiki User
∙ 11y ago
Wiki User
∙ 11y agoThe slope will be negative.
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What is the sign of slope of the regression line if the correlation coefficient is -0.15?
The sign is negative.
How does finding slope compare to finding the rate of change between two variables in a linear relationship?
The slope of a line is the same thing as the rate of change between two variables in a linear relationship.
When a graph shows two variables are directly proportion the slope will be?
If the two variables are directly proportional, then the slope can be any number,but the y-intercept has to be zero ... the line must go through the origin.
What negative correlation indicate?
the negative sign on correlation just means that the slope of the Least Squares Regression Line is negative.
If two variables have a negative linear correlation is the slope of the least squares negative?
Negative
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 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 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.
The value 11.7 represents the of the graph of the following linear regression equation?
slope
What is a regression line that is superimposed on a scatter plot?
It guarantees that the slope and intercept are minimized.
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!
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!
When you compare two variables how does that turn into slope?
Suppose you have a sample of n points for two variables: (x1, y1), (x2, y2), ... (xn, yn). Without going into various statistical considerations (which are nonetheless important) you can estimate the slope of the 'best' line that can be used to estimate the values of y from the values of x using for formula given for beta-hat in the wikipedia article for simple linear regression.
What is the sign of slope of the regression line if the correlation coefficient is -0.15?
The sign is negative.
When doing linear regression if the correlation coefficient is positive the slope of the line is negative?
False.
