What is the equation of the regression line for the (ху) рairs of data points (1, 5), (3, 7), (4, 6), (5, 8), and (7, 9). Select one: а. 4.4-.65x b. .65-4.4x С. .65+4.4x d. 4.4+.65x

The line of best fit through a set of data isy=59.355−3.526xy=59.355-3.526xAccording to this equation, what is the predicted value of the dependent variable when the independent variable has value 80?y =  Round to 1 decimal place.

A statistics professor bought a new car for $35,000. For the next 5 years, she used several automotive web pages to estimate the value of the car. She then found the least‑squares regression line for the data to be  y^ =35035.71−4142.86x where yy is the value of the car and xx is the years since she purchased it. Predict the value of her vehicle after 6 years.

You don't have to write in Arabic

1) create a line in DESMOS with the linear regression equation: y1 ~ mx1 + b 2) create a second line with quadratic regression: y1 ~ ax1^2 + bx + c After looking at the regression in DESMOS, is the data LINEAR or QUADRATIC?

15 & 16

The equations of the regression line between two variables are expressed as 2x-3y=0 and 4y-5x-7=0 a) identify which of two can be called regression line of Y on X and X on Y b) find the correlation coefficient c) find mean value of X and mean value of Y

Construct the equation of the regression line. An editing firm compiled the following table which lists the number of pages contained in a piece of technical writing and the cost of proofreading and correcting them (in dollars). Assume there is a significant linear relationship between X and Y and construct the equation of the linear regression line. Number of Pages, x 7 12 4 14 25 30 Cost, y 128 213 75 250 446 540   a.) y^= 17.9(x) + 1.6 b.) y^= 7.1(x) + 15.4 c.) y^= 15.4(x) + 7.1 d.) y^= 1.6(x) +

The estimated regression equation for a model involving two independent variables and 10 observations follows. y = 33.0798 + 0.6071x1 + 0.7058x2 a. Interpret b₁ and b2 in this estimated regression equation (to 4 decimals). b₁ = - Select your answer - b₂ = - Select your answer - b. Estimate y when *₁ = 180 and ₂ = 310 (to 3 decimals).

A researcher wishes to examine the relationship between years of schooling completed and the number of pregnancies in young women. Her research discovers a linear relationship, and the least squares line is:    ˆy=5−4xy^=5-4x   where x is the number of years of schooling completed and y is the number of pregnancies.  The slope of the regression line can be interpreted in the following way: When amount of schooling increases by one year, the number of pregnancies tends to decrease by 4.   When amount of schooling increases by one year, the number of pregnancies tends to increase by 4.   When amount of schooling increases by one year, the number of pregnancies tends to increase by 5.   When amount of schooling increases by one year, the number of pregnancies tends to decrease by 5.