Determine the equation of the sinusoidal regression function for the following data. 5 10 15 20 25 30 120 138 122 105 121 140 125 Using your regression equation, what is the value of y, to the nearest tenth, if x = 45?

For the data in the table, find the regression equation. Round the slope and y-intercept two decimals. y 3 12 13 16 10 29 12 32 15 35 18 37 19 39 20 40 Use your equation to predict y when x = 21 y = Submit Question 467 O258098

A set of X and Y scores has SSX = 15, SSY = 24, and SP = 60. The regression equation for these scores will have a slope constant of ______. a. 6 b. 5 c. 3 d. 4

The ages (in years) of five men and their systolic pressures. (You can use technology) Age, x 16 25 39 45 49 Systolic blood pressure, y 109 122 143 132 199 a. calculate the correlation coefficient, r b. calculate the critical r c. Is there a significant linear relationship between x and y? d. find the equation of regression line e Interpret the slope and the y-intercept f. Predict the systolic blood pressure for a man who is 40 years old.

The y intercept in a regression equation is represented by y hat a. True b. Fakse

Cheick is investigating how long his phone's battery lasts (in hours) for various brightness levels (on a scale of 0-100). His data is displayed in the table and graph below. Brightness Level (x) Hours (y) 23 6.7 27 5.9 30 7.3 36 7.2 71 3.8 72 3.6 85 3.1 94 1.9   (a)  Use the Corr/Regression to find the equation for the line of best fit. Round your answers to two decimal places.      ˆy = 8.74 + -0.07x (b)  Interpret the slope in context.  Cheick expects the battery life to go down by 0.07 hours for each increase of 1 in the brightness level. Cheick expects the brightness to decrease by 0.07 for every hour that goes by. Cheick expects his phone battery to last 0.07 hours if he keeps the brightness level at 0. Cheick expects his phone battery to last 8.74 hours if he keeps the brightness level at 0. Correct   (c)  What does the equation predict for the number of hours the phone will last at a brightness level of 36?       6.2 hours    Round your answer to…

Fill in the blanks. a. The cross-product term in a regression equation is often referred to as an _______ term. b. If two predictor variables x1 and x2 interact, then the change in the conditional mean of y for a change of one unit in x2 (with x1 held fixed) depends on _______. c. In a regression model, the cross-product term between x1 and x2 is given by ________.

Find the equation of the regression line for the given data. Then construct a scatter plot of the data and draw the regression line. (The pair of variables have a significant correlation.) Then use the regression equation to predict the value of y for each of the given x-values, if meaningful. The number of hours 6 students spent for a test and their scores on that test are shown below. Hours spent studying, x 1 2 2 Test score, y 39 45 50 48 3 5 6 62 72 (a) x = 2 hours (c) x = 15 hours (b) x = 3.5 hours (d) x = 4.5 hours Find the regression equation. y = x+ y= (Round the slope to three decimal places as needed. Round the y-intercept to two decimal places as needed.)

The average top ticket price for Broadway musicals has increased dramatically between 1975 and 2003. 1985 1998 2000 2003 72.83 118.97 130.15 44.99 Year Average Ticket Price 1975 13.63 a. Using the data in the table, find the linear regression equation that best fits the data. (Let x = 0 represent the number of years since 1970.) y = (Round values to three decimal places.) b. Predict the average top ticket price for Broadway musicals in the year 2012 if the price continues to increase at the same rate. (Let x represent the number of years since 1970.) (Round to two decimal places.) c. Find the rate at which the price is rising. per year (Round to two decimal places.)