Use regression to find a quadratic model for the given data. (Round the terms to four decimal places.) 0.6 0.7 2.6 4.7 5.3 -5.6 7.7 20.2 18.9 1.3 y = -13.721x2 + 24.4287x-3.9539 X y X Plot the data along with the regression equation. y 1 y

Use the cost model screenshot attached to answer the question. Thanks for the help. Use the weekly cost model to estimate the total weekly cost when the weekly demand is 147.  Round to the nearest dollar. $

The table below shows how far a person driving in their car was able to go over different intervals of time. Perform a regression to model the data, using the form y = ka + h. What is your value for k? (Round your answer to the nearest tenth.) Time (hours) Distance (miles) 1.2 26 2.5 57 3.1 63 4.8 114

Annual high temperatures in a certain location have been tracked for several years. Let X represent the number of years after 2000 and Y the high temperature. Based on the data shown below, calculate the linear regression equation using technology (each constant to 2 decimal places). x y 4 36.68 5 35.85 6 35.52 7 35.99 8 38.46 9 38.93 10 38 11 38.07 12 39.54 13 40.11 14 41.58 The equation is y^ = x + Interpret the slope For each additional 33.38 years, the annual high temperature will increase by 1 degree on average. For each additional 0.52 years, the annual high temperature will increase by 1 degree on average. For each additional year, the annual high temperature will increase by 0.52 degrees on average. For each additional year, the annual high temperature will increase by 33.38 degrees on average. Interpret the y-intercept In 2000, the temperature was about 33.38. It does not make sense to interpret the intercept in this scenario. In 2004, the…

Fill in the blanks. a. Multicollinearity is considered to be severe if the VIF for one or more predictor variables is ______. or greater. b. If the coefficient of multiple determination for the regression of the predictor variable x11 on all the other predictor variables in a regression equation is 0.6, then the VIF for x1 is ______. c. The effect of multicollinearity in a polynomial regression analysis can be reduced by ______. the predictor variable.

Please don't provide hand written solution

Use the cost model screenshot attached to answer the question. Thanks for the help. What is m? Round to 1 decimal place.

Grades on Midterm    Grades on Final79    8464    7676    8385    9170    7586    7960    7975    8781    8263    63 The following table gives the data for the grades on the midterm exam and the grades on the final exam. Determine the equation of the regression line, yˆ=b0+b1x . Round the slope and y-intercept to the nearest thousandth.