CALCULUS:GRAPHICAL...,AP ED.-W/ACCESS
5th Edition
ISBN: 9780133314564
Author: Finney
Publisher: SAVVAS L
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Use linear regression to find the equation for the linear function that best fits this data. Round both
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A teacher plots the number of classes their students missed (1) with their scores on a test (y). The linear regression equation y= -4z + 98 is also shown on the graph.
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Classes Missed
Based on this information, which statements describe the possible relationship between the number of classes missed and the test scores? Select all that apply
O Based on the linear regression equation, the y-intercept means that for 0 missed classes, the expected test score is 98.
Test Scores
If ? = 1.602×10!!"?, calculate the value of h from the slope (include the unit). The slope is = -7.94x10^13 and the intercept is = 8.21x10^14
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- bThe average rate of change of the linear function f(x)=3x+5 between any two points is ________.arrow_forwardWhat is the y -intercept on the graph of the logistic model given in the previous exercise?arrow_forwardTable 2 shows a recent graduate’s credit card balance each month after graduation. a. Use exponential regression to fit a model to these data. b. If spending continues at this rate, what will the graduate’s credit card debt be one year after graduating?arrow_forward
- The kinetic energy E of an object varies jointly with the object’s mass m and the square of the object’s velocity v . An object with a mass of 50 kilograms traveling at 16 meters per second has a kinetic energy of 6400 joules. What is the kinetic energy of an object with a mass of 70 kilograms traveling at 20 meters per second?arrow_forwardThe data below is the amount of tar and nicotine in a sample of different brands of 100 mm, non-menthol, filtered cigarettes. a) Using the calculator, find a linear regression model that gives the amount of nicotine, N, as a function of the amount of tar, t. Write the function below. N(t)= b) use this model of nicotine to estimate the amount of nicotine in a cigarette if the amount of tar is listed as 21 mg. c) What is the correlation coefficient, r, for this model? r= Tar 5 16 17 13 13 14 9 15 2 15 13 14 15 16 7 17 Nicotine 0.4 1 1.2 0.8 0.8 1 0.8 1 0.2 1.1 0.8 1 0.9 1.1 0.6 1.3arrow_forwardIn 1950, the life-expectancy of women was 72 years old. In 1970, it was 75 years. Let E represents the life expectancy and "t" the number of years since 1950 (t = 0 gives 1950 and t= 10 gives 1960). 21. Express a linear function of life expectancy of women to the data points (0, 72) and (20, 75). a. E=3t-72 c. E=3t/20 + 72 b. E= 20t+ 72 d. E=3t+ 72 22. Predict the life expectancy of women in 2003. a. 79.95yrs old b. 81.25yrs. old 23. Predict the life expectancy of women in 2018. a. 71.25yrs. old b. 75.5yrs old c. 82.35yrs. old d. 83.25yrs old c. 82.2yrs old d. 88.6yrs oldarrow_forward
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