Yes, it is.
How do you interpret the slope and y intercept in a real world case?
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
line that measures the slope between dependent and independent variables
It guarantees that the slope and intercept are minimized.
Yes, it is.
the negative sign on correlation just means that the slope of the Least Squares Regression Line is negative.
The slope will be negative.The slope will be negative.The slope will be negative.The slope will be negative.
How do you interpret the slope and y intercept in a real world case?
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
slope
line that measures the slope between dependent and independent variables
It guarantees that the slope and intercept are minimized.
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.
The sign is negative.
False.
The value depends on the slope of the line.