1. The yearly data have been published showing the number of releases for each of thecommercial movie studios and the gross receipts for those studios thus far.No. of releases (x)361 270 306 22 35 10 8 12 21Gross receipts (y) (million $)| 3844 1962 1371 1064 334 241 188 154 125(a) Based on these data, can it be concluded that there is a linear relationship betweenthe number of releases and the gross receipts?(b) Find y' when x = 200 new releases(c) Find the 95% prediction interval when x = 200 new releases2. An economics student wishes to see if there is a relationship between the amount of statedebt per capita and the amount of tax per capita at the state level.Per capita debt (x) 1924 907 1445 1608 661Per capita tax (y) 1685 1838 1734 1842 1317(a) Based on the data, can they conclude that per capita state debt and per capitastate taxes are related? Both amounts are in dollars and represent five randomlyselected states.(b) Find y' when x = $1500 in per capita debt(c) Find the 90% prediction interval when x = $1500 in per capita debt

Since you have asked multiple question, we will solve the first question for you. If you want any…

Answered: 1. The yearly data have been published…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

See similar textbooks

Similar questions

The follow table shows total dollar sales (in thousands) for a local retailer for various years. Year 2019 2020 2021 2022 2023 Sales ($) 16 21 26 31 36 a) What was the dollar amount of sales for 2022? $ b) By how much did sales increase each year? $ c) Find a linear function S(x) that models the above data, where x is the number of years after 2018 (so that the year 2019 corresponds to x = 1, the year 2020 corresponds to x = 2, and so on) and S(x) is the dollar amount of sales in thousands. S(x) = X + d) Use S(x) to predict sales in 2025. $ If needed, round answer to 5 decimal plates. Enter DNE for Does Not Exist, oo for Infinity Question Help: Message instructor Submit Question thousand thousand thousand
C. Describe the four characteristics of association
A study was done to look at the relationship between number of vacation days employees take each year and the number of sick days they take each year. The results of the survey are shown below. Vacation Days 5 15 13 3 9 0 3 7 7 14 4 Sick Days 5 5 1 5 4 9 9 6 5 3 9 Use the model to predict the number of sick days taken for an employee who took 3 vacation days this year.Sick Days = ? (Please round your answer to the nearest whole number.) Interpret the slope of the regression line in the context of the question: As x goes up, y goes down. The slope has no practical meaning since a negative number cannot occur with vacation days and sick days. For every additional vacation day taken, employees tend to take on average 0.40 fewer sick days. Interpret the y-intercept in the context of the question: The y-intercept has no practical meaning for this study. If an employee takes no vacation days, then that employee will take 8 sick days. The average number of sick days is…
A researcher wants to determine if the exam scores of the students are dependent on the length of time spent in studying the subject. Ten students in a certain class were taken and the results are shown in the table below where X is the time spent in studying the subject in hours and Y is the examination scores. X (time) Y (score) 1.5 80 3.0 83 1.25 83 0.5 70 3.5 85 2.5 75 1.0 70 3.0 90 2.5 86 4.0 91 Determine the simple linear regression equation Y = a + bX. (round off values up to 1 decimal place)
The table below shows the relationship between the altitude of the atmosphere and corresponding temperature. Altitude (in feet) 25,000 20,000 15,580 12,902 Temperature (in degree Celsius) 10 16 25 30 What inference can be made from the above data? A.The temperature of the atmosphere decreases with the increase in the altitude. B.The temperature of the atmosphere decreases with the decrease in the altitude. C.The temperature of the atmosphere increases with the increase in the altitude. D.ANo inference can be made from the given data.
A data set is given below x 1 1 4 5 6 6 y 5.3 6.6 4.8 3.2 2.3 2.6 a) Comment on the type of relation that appears to exist between x and y. Choose the correct answer listed below. There appears to be __________________(a linear negative, a nonlinear, no, a constant, or a linear positive) relationship. b) Given that x = 3.8333, sx = 2.3166, y = 4.1333, sy = 1.7014, and r = -0.9421, determine the least-squares regression line. y = ______x + (___) Round to 3 decimal places
1. A researcher is interested in knowing if there is a relationship between the years presented in the table below and the average number of people in a family receiving welfare benefits. Year Average Family Size 1969 4.0 1973 3.6 1975 3.2 1979 3.0 1983 3.0 1988 3.0 1991 2.9 a. What are your conclusions and observations about the relationship between the two variables b.What is the value of the intercept a? c. What is the value of the slope b? d. Write the linear regression equation
Table 9.3 Total cholesterol in 25 patients after taking new statin drug. .. Population mean is 200. Cholesterol levels 219 191 198 214 163 264 248 182 235 209 152 148 145 189 213 230 181 180 100 219 102 249 282 188 264 D. b. Describe the effects of the statin drug on your sample. Do you see any change in the level of cholesterol after taking the drug? c. What is your research question? What are the null and alternative hypotheses? Decide if you want to do a one-tailed or two-tailed test. d. What test? Perform it? What is your critical value? Sketch a normal distribution and draw the critical value or values of z. f. What is your conclusion?
3. If there is a linear, strong, and positive relationship between the scores on two tests, we should conclude that A. Scoring high on one test causes an individual to score high on the other test. B. high scores on one test are associated with low scores on the other test. C. as one test score goes down, the other test score goes up. D. low scores on one test are associated with low scores on the other test. E. the value of r must be close to 0.

Recommended textbooks for you

MATLAB: An Introduction with Applications

Statistics

ISBN:

9781119256830

Author:

Amos Gilat

Publisher:

John Wiley & Sons Inc

Probability and Statistics for Engineering and th…

Statistics

ISBN:

9781305251809

Author:

Jay L. Devore

Publisher:

Cengage Learning

Statistics for The Behavioral Sciences (MindTap C…

Statistics

ISBN:

9781305504912

Author:

Frederick J Gravetter, Larry B. Wallnau

Publisher:

Cengage Learning

MATLAB: An Introduction with Applications

Statistics

ISBN:

9781119256830

Author:

Amos Gilat

Publisher:

John Wiley & Sons Inc

Probability and Statistics for Engineering and th…

Statistics

ISBN:

9781305251809

Author:

Jay L. Devore

Publisher:

Cengage Learning

Statistics for The Behavioral Sciences (MindTap C…

Statistics

ISBN:

9781305504912

Author:

Frederick J Gravetter, Larry B. Wallnau

Publisher:

Cengage Learning

Elementary Statistics: Picturing the World (7th E…

Statistics

ISBN:

9780134683416

Author:

Ron Larson, Betsy Farber

Publisher:

PEARSON

The Basic Practice of Statistics

Statistics

ISBN:

9781319042578

Author:

David S. Moore, William I. Notz, Michael A. Fligner

Publisher:

W. H. Freeman

Introduction to the Practice of Statistics

Statistics

ISBN:

9781319013387

Author:

David S. Moore, George P. McCabe, Bruce A. Craig

Publisher:

W. H. Freeman

SEE MORE TEXTBOOKS