9. The table shows the lineer relationship between the belance of a student's savings account and the number of weeks he has been saving. Savings Account Week 3. 8. 13 Bolance (dallars) 32 39 53 74 88 123 Based on the table, what was the rate of change of the balance of the student's savings account in doliars and cents per week? Record your answer and fll in the bubbles on your answer document. 00

9. The table shows the lineer relationship between the belance of a student's savings account and the number of weeks he has been saving. Savings Account Week 3. 8. 13 Bolance (dallars) 32 39 53 74 88 123 Based on the table, what was the rate of change of the balance of the student's savings account in doliars and cents per week? Record your answer and fll in the bubbles on your answer document. 00

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018

18th Edition

ISBN:9780079039897

Author:Carter

Publisher:Carter

Chapter4: Equations Of Linear Functions

Section4.5: Correlation And Causation

Problem 21PFA

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Suppose the following model describes changes in the civilian unemployment rate: Δuert = −0.0405 − 0.4674Δuert −1. The current change (first difference) in the un- employment rate is 0.0300. assume that the mean-reverting level for changes in the unemployment rate is −0.0276. a. what is the best prediction of the next change? b. what is the prediction of the change following the next change? C. explain your answer to Part b in terms of equilibrium.
The relationship between sleep hours and overall happiness level on the next day was estimated as below in a linear format. (Happiness level is measured through a five-point scale: 1 = Extremely unhappy, 5 = Extremely happy) Overall happiness level = 0.27 * Sleep hours + 2.34 (The p-value for the coefficient of Sleep hours is 0.02.) Based on this equation, what is the expected happiness level of a person on a certain day, when he slept 7 hours the day before?
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The mean height of Americanwomen in their twenties is about 64.3 inches, and the standard deviation is about 3.9 inches. The mean height of menthe same age is about 69.9 inches, with standard deviationabout 3.1 inches. Suppose that the correlation between theheights of husbands and wives is about r 0.5.(a) What are the slope and intercept of the regressionline of the husband’s height on the wife’s height in youngcouples?(b) Draw a graph of this regression line for heights of wivesbetween 56 and 72 inches. Predict the height of the husbandof a woman who is 67 inches tall, and plot the wife’s heightand predicted husband’s height on your graph.(c) You don’t expect this prediction for a single couple to bevery accurate. Why not?
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A researcher found a linear correlation between course grades and the average number of hours spent on a mobile phone each day. The line of best fit has equation y ^ = 3.7 − 0.786 x with correlation coefficient r = − 0.84. a. Does this prove that spending too much time on a phone causes students to get lower grades? b. What does the regression line predict your final grade in a course will be if you spend an average of 150 minutes per day on your phone?
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