regression line

The formula for the standard error of the estimate for the predictions made with a regression line is => I or II or III or IV..

State which of the following statement(s) is/are true. I. Regression analysis is a measure of the relationship between two variables. II. In regression analysis, there are two types of variables, regressor variable and regressed variable. III. The line of ..

General form of the regression line used in statistics is ____ and the y ′-intercept and the slope respectively are => y ′ = a + bx , a , b or y ′ = ax 2 + b , b , a or y ′ = a + bx 2 , a , b or y ′ = ax + b , b , a..

Which of the following statement(s) is/are true? I. If the correlation coefficient is significant, the equation of the regression line cannot be determined. II. The values of the dependent variable can be predicted for the values of the independent variable using the regres..

Which of the following statement(s) is/are true? I. If all the points fall on the regression line, the explained variation is equal to the total variation. II. If all the points fall on the regression line, the unexplained variation will be equal to zero. III..

The relation between the sign of the correlation coefficient( r ) and the sign of the slope( b ) of the regression line is => when r is positive, b is also positive and when r is negative, b is also negative or when r is positive, b is negative and when r is negative, b is posit..

Which of the following statement(s) is/are true? I. A residual is the difference between the actual value y and the mean of the y values y ‾ . II. A regression line is also called a least squares line. III. The coefficient of determination is the ratio of the e..

The formulas for a and b of the regression line y ′ = a + bx are => II only or III only or IV only or I only..

Determine the equation of the regression line and plot the line on the scatter plot for the data. x 2 8 7 5 3 6 4 1 y 6 8 4 1 5 7 2 3 => y ′ = 2.893 + 0.357 x ; Graph 1 or y ′ = 0.357 + 2.893 x ; Graph 3 or y ′ = 2.893 - 0.357 x ; Graph 2 or y ′..

The age and height of a person is recorded. Determine the equation of the regression line. Age (years) ( x ) 16 18 21 24 28 33 40 Height (feet) ( y ) 5 5.1 5.3 5.55 5.6 5.6 5.6 => y ′ = 4.74 + 0.03 x or y ′ = - 4.74 - 0.03 x or y ′ = - 4.74 + 0.03 x or y &prime..