Let Y represent the profit (or loss) for a certain company X years after 1975. Based on the data shownbelow, a statistician calculates a linear model Y = - 2.91X + 45.99.X56789101112y30.9729.0625.9523.1418.2316.8215.4110.4Use the model to estimate the profit in 1980y =

Here the dependent variable (Y) is profit for certain companies.The independent variable (X) is the…

Answered: Let Y represent the profit (or loss)…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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A company has the following monthly sales for the past year. Plot the data points on a line graph and describe the results. Month Sales 1 145 2 146 3 145 4 150 5 148 6 150 7 156 8 160 9 158 10 153 11 152 12 154
Suppose trips/wk=3.1 –0.15(dist) is a linear model that predicts the number of supermarket trips a family makes per week when they live a certain distance (in miles) from a supermarket. It was established by sampling people who live within 10 miles of a supermarket. Which of the following is the correct interpretation of the slope? a. For each additional trip that the family makes, they live 0.15 miles away from the store b. For each additional mile away from the store the family lives, they make 0.15 more visits per week c. For each additional mile away from the store the family lives, they make 0.15 fewer visits per week d. For each additional trip they make to the store, they live an additional 3.1 miles away. e. For each additional mile away they live, they make 3.1 more trips to the stor.
D. Calculate a linear regression using Stabley. Write the equation below. E. What is the correlation coefficient? f. What is the slope of your LSRL? Interpret the slope using context. G. What is the Y- intercept of your LSRL? Interpret the Y-intercept using context
C. Describe the four characteristics of association
Simple linear regression model helps to adjust out the effects of confounding factors in a statistical analysis. A. TrueB. FalseC. None of the above choices
A soda company is monitoring the number of cases of soda it produces as a function of time. A manager checked the line several times a day for a week. She then graphed the combined data. Assume that we should see a linear (best straight line) relationship between time and production. What is the best estimate of the number of cases that will be produced in 1 hr on a typical day? 8. 7 1 0.5 1.5 2 2.5 Time in hours Select one: а. 1 b. 2 C. 2.5 d. 4.5 е. 7 Cases of soda produced
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Given the number of calls per week received by a dental clinic, what is the forecasted number of calls for week 12 considering that the forecast for week 1 was 47 and a smoothing constant a -0.2? CALLS 52 35 25 36 45 35 44 WEEK 1 2 3 4 5 6 7 869 10 34 calls 35 calls 33 calls 38 calls 30 35 25
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Let Y represent the profit (or loss) for a certain company X years after 1975. Based on the data shown below, a statistician calculates a linear model Y = 2.91X + 45.99. X y 5 30.97 6 29.06 7 25.95 8 23.14 9 18.23 10 16.82 11 15.41 12 10.4 012 Use the model to estimate the profit in 1980 y =