MATLAB: An Introduction with Applications
6th Edition
ISBN: 9781119256830
Author: Amos Gilat
Publisher: John Wiley & Sons Inc
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- A. Give the regression equation in the form y=Asin(B(x-C))+D B. Use the regression equation to predict the average number of daylight hours in February 2017.arrow_forward1a. Make a scatter plot of the table provided in the image. B. Write a linear/exponential equation that models this table provided in the image. C. Explain what the slope/multiplier means in the context of the problem. E. Use your model to predict when there will be 100 new cases (I have already done question 1a and have included it in my images. I mainly need help with questions C, D, and E)arrow_forwardUse Excel to develop a regression model to predict Annual Food Spending by Annual Household Income for those living in the Metro area only. Suppose a household in the metro area has an annual income of $60,000. Predict how much they spend on food per year. Write your answer as a number and round to 2 decimal places. Annual Food Spending ($) Annual Household Income ($) Non mortgage household debt ($) Region: 1 = NE 2 = MW 3 = S 4 = W Location: 1 = Metro 2 = Outside Metro 8909 56697 23180 1 1 5684 35945 7052 1 1 10706 52687 16149 1 1 14112 74041 21839 1 1 13855 63182 18866 1 1 15619 79064 21899 1 1 2694 25981 8774 1 1 9127 57424 15766 1 1 13514 72045 27685 1 1 6314 38046 8545 1 1 7622 52408 28057 1 1 4322 41405 6998 1 1 3805 29684 4806 1 1 6674 49246 13592 1 1 7347 41491 4088 1 1 2911 26703 15876 1 1 8026 48753 16714 1 1 8567 55555 16783 1 1 10345 71483 21407 1 1 8694 50980 19114 1 1 8821 46403 7817 1 1…arrow_forward
- The y intercept in a regression equation is represented by y hat a. True b. Faksearrow_forwardSuppose that the number of tee shirts sold (N) depends linearly on the price charged (x). Write an equation showing this dependence.arrow_forwardType your equation with y = as well. %3D The table below shows the number of state-registered automatic weapons and the murder rate for several Northwestern states. 11.9 8.3 6.6 3.5 2.3 2.5 2.2 0.9 13.8 11.2 9.5 7.3 5.9 6.4 5.8 4.9 x = thousands of automatic weapons y = murders per 100,000 residents %3D %3D Determine the regression equation in y = ax + b form and write it below. (Round to 2 decimal places) %3D A) How many murders per 100,000 residents can be expected in a state with 6.4 thousand automatic weapons? Answer = Round to 3 decimal places. B) How many murders per 100,000 residents can be expected in a state with 9.9 thousand automatic weapons? Answer = Round to 3 decimal places. Hint: Helparrow_forward
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