Chapter 14 Regression Statistics 0.97543454 Multiple R R Square Adjusted R Sc Standard Erro 438.384366 Observations 1 2 ANOVA Of Regression Residual 10 1921808.519 39602500 Coemicients Standard Error 19.0812465 1 362706623 Total Stat 13720.2593 1580.13751 8.682952714 intercept X Variable 1 13. Use the table above to answer the following questions Write the equation of the regression line based on the output above. a) U) = (3,7て07513 t (9,08 lex Assuming that the x variable represents the number of service calls made, what is the total cost expected if 1,1,40 service calls are made? b) c) What is the relationship between SSE, SSR and SST? What is the value of the SSR? d) Calculate the r2 from the data above. e) f What interval must r2 fall? 8) Calculate the F statistic. h) What is the value of tSTAT for the slope (b1)? i) What is the value of the y-intercept? Using an alpha of 0.05, what is the confidence interval estimate for the independent variable? LCL i) UCL

Chapter 14 Regression Statistics 0.97543454 Multiple R R Square Adjusted R Sc Standard Erro 438.384366 Observations 1 2 ANOVA Of Regression Residual 10 1921808.519 39602500 Coemicients Standard Error 19.0812465 1 362706623 Total Stat 13720.2593 1580.13751 8.682952714 intercept X Variable 1 13. Use the table above to answer the following questions Write the equation of the regression line based on the output above. a) U) = (3,7て07513 t (9,08 lex Assuming that the x variable represents the number of service calls made, what is the total cost expected if 1,1,40 service calls are made? b) c) What is the relationship between SSE, SSR and SST? What is the value of the SSR? d) Calculate the r2 from the data above. e) f What interval must r2 fall? 8) Calculate the F statistic. h) What is the value of tSTAT for the slope (b1)? i) What is the value of the y-intercept? Using an alpha of 0.05, what is the confidence interval estimate for the independent variable? LCL i) UCL

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 table below lists adult weights of individuals who are on three separate treatment programs (Treatment A, B, and C) to help reduce weight. Obs. 1 Obs. 2 Obs. 3 Obs. 4 Obs. 5 Obs. 6 Obs. 7 Obs. 8 Treatment A (weights) 160 155 163 152 148 150 147 Treatment B (weights) 179 174 169 159 166 180 177 180 Treatment C (weights) 150 155 153 156 140 167 n Mean Std. Deviation Treatment A 7 153.5714 6.0788 Treatment B 8 173.0000 7.6718 Treatment C 6 153.5000 8.7807 Total 21 160.9524 12.0311 The weights of individuals in each treatment program are listed on the top most table. For your convenience, the number of observations (n), mean, and standard deviation of each treatment program is listed in the bottom most table. Knowledge of calculating n, mean and standard deviation is expected and thus is provided (these may or may not be provided on exams). What is the mean square between?
. A professor at the University of Iowa was interested in evaluating whether domestic dispute calls were more dangerous to officers than other types of calls. Collecting information on call for service and whether the call resulted in officer injury. The data is displayed in the contingency table below. Type of Call Domestic Dispute Not a Domestic Dispute Officer Injury No 128 675 Yes 245 786 Using the information to complete Table 1 and answer the questions below. Table 1. Chi-square Category Observed Expected O – E (O – E)2 (O – E)2/E No, Domestic 128 163.31 -35.31 1246..796 7.64 No, Not Domestic 675 639.69 35.31 1246.796 1.95 Yes, Domestic 245 209.69 35.31 11506.85 5.951.52 Yes, Not Domestic 786 821.31 -35.31 1246.796 Using an alpha level of 0.05, are domestic calls more dangerous for officers than other types of calls? Compute…
An agent for a property management company would like to be able to predict the monthly rental cost for apartments based on the size of the apartment as defined by square footage. A sample of the rent of 25 apartments in a college rental neighborhood was selected, and the information collected revealed the following: Apartment Size (Sq. Ft.) Monthly Rent ($) 1 850 950 2 1,450 1,600 3 1,085 1,200 4 1,232 1,500 5 718 950 6 1,485 1,700 7 1,136 1,650 8 726 935 9 700 875 10 956 1,150 11 1,100 1,400 12 1,285 1,650 13 1,985 2,300 14 1,369 1,800 15 1,175 1,400 16 1,225 1,450 17 1,245 1,100 18 1,259 1,700 19 1,150 1,200 20 896 1,150 21 1,361 1,600 22 1,040 1,650 23 755 1,200 24 1,000 800 25 1,200 1,750 e) Determine the coefficient of determination r2 and then completely interpret…
An agent for a property management company would like to be able to predict the monthly rental cost for apartments based on the size of the apartment as defined by square footage. A sample of the rent of 25 apartments in a college rental neighborhood was selected, and the information collected revealed the following: Apartment Size (Sq. Ft.) Monthly Rent ($) 1 850 950 2 1,450 1,600 3 1,085 1,200 4 1,232 1,500 5 718 950 6 1,485 1,700 7 1,136 1,650 8 726 935 9 700 875 10 956 1,150 11 1,100 1,400 12 1,285 1,650 13 1,985 2,300 14 1,369 1,800 15 1,175 1,400 16 1,225 1,450 17 1,245 1,100 18 1,259 1,700 19 1,150 1,200 20 896 1,150 21 1,361 1,600 22 1,040 1,650 23 755 1,200 24 1,000 800 25 1,200 1,750 i) Determine a 95% interval estimate for the average rent of apartments with 1000…
Suppose that a customer is purchasing a car. He conducts an experiment in which he puts 10 gallons of gas in the car and drives it until it runs out of gas. He conducts this experiment 15 times on each car and records the number of miles driven. Full data set Car 1 216 243 205 242 239 297 295 172 270 251 165 310 265 316 278 Car 2 231 220 223 205 245 257 242 292 248 252 287 255 250 293 251 Sample standard deviation for Car 1 s=________mi / 10 gal (Type an integer or decimal rounded to one decimal place as needed.) Sample standard deviation for Car 2 s=________mi / 10 gal (Type an integer or decimal rounded to one decimal place as needed.) Which car would the customer buy and why? Choose correct answer below. A. Car1, because it has a lower mean gas mileage. B. Car 2, because it has a lower sample standard deviation, hence more predictable gas mileage.…
Two machines used for cutting steel are calibrated to cut exactly the samelengths. To test this hypothesis, each machine is used to cut 10 pieces ofsteel. These pieces are then measured (with negligible measuring error).Suppose the resulting data are as follows:Machine 1 Machine 2 | Machine 1 Machine 2122.40 122.36 | 121.76 122.40123.12 121.88 | 122.31 122.12122.51 122.20 | 123.20 121.78123.12 122.88 | 122.48 122.85122.55 123.43 | 121.96 123.04Assume that it is known that the standard deviation of the length of a cut(made by either machine) is equal to 0.50.
A. Determine the coefficient of determination and alienation – interpret B. Is r statistically significant at .05? (rxy= 0.2559) Participant Hours slept Anxiety Level 1 6 4 2 6 3 3 6 3 4 4 3 5 5 3 6 4 2 7 5 3 8 4 2 9 5 3 10 6 4 11 4 5 Mean 5.00 3.18 SD 0.89 0.87
The data summarized in the accompanying table is from a paper. Suppose that the data resulted from classifying each person in a random sample of 50 male students and each person in a random sample of 94 female students at a particular college according to their response to a question about whether they usually eat three meals a day or rarely eat three meals a day. Usually Eat3 Meals a Day Rarely Eat3 Meals a Day Male 27 23 Female 38 56 (a) Is there evidence that the proportions falling into each of the two response categories are not the same for males and females? Use the ?2 statistic to test the relevant hypotheses with a significance level of 0.05. Calculate the test statistic. (Round your answer to two decimal places.) ?2 = Use technology to calculate the P-value. (Round your answer to four decimal places.) P-value = What can you conclude? Fail to reject H0. There is convincing evidence that the proportions falling into the two response categories are not the…
1. A study conducted by the Toledo police at the intersection of Byrne and Heatherdowns for the 7 to 9 AM drive time revealed the following number of vehicles proceeded through the intersection after the light changed. The information reported below is for a sample of seven days during a six month period6 12 7 12 8 4 5 e. Describe the skewness.
An MP of one city constituency complained in parliament that his constituency consists of mainly poorly paid workers. His colleagues demanded that he substantiates his claim. Mtuwetu hired a statistician who collected data on monthly salaries from a sample of 500 residents of the constituency. The statistician recorded the following data: Monthly salary (ksh 000) No. of residents 0-5 50 5 – 10 170 10 – 15 210 15 – 20 40 20 – 25 20 25 – 30 10 Suppose ksh 8,000 and 22,000 are the divided salary points of lower, middle, and upper-income groups. What proportion of the constituents fall in each of the income groups
A lecturer at WIN wanted to know if he can predict student’s quiz results by asking them tocomplete a simple survey. The result of the survey is found in the file: Assignment 2 sem22020data set 1. Quiz Results EQR Study Hrs Age Sex BBT MB MC AuHS LM 15 10 3 19 0 0 1 1 0 1 14 15 4 24 0 0 1 0 0 1 9 15 1 20 0 10 1 0 0 1 6 10 3 21 0 0 1 1 0 1 14 15 4 21 0 9 1 0 0 1 12 10 6 21 0 2 0 1 0 1 12 13 2 21 1 8 1 0 0 0 15 15 0 20 0 8 1 0 0 1 12 15 3 20 0 10 1 0 0 1 13 15 0.2 19 0 8 1 0 0 1 15 15 2 20 0 6 1 0 1 1 12 14 5 20 0 5 1 1 1 1 14 15 7 22 0 8 0 0 0 0 7 7 10 21 1 7 0 0 1 0 11 15 5 24 0 0 1 0 0 1 10 10 3 22 1 0 1 0 0 1 13 11 3 23 1 1 1 1 1 1 13 15 2 22 1 8 0 0 0 0 13 12 4 20 1 7 1 0 1 0 13 10 3 20 1 0 1 0 0 1 8 13 5 20 1 8 0 0 0 0 12 13 5 22 0 5 0 0 0 1 13 15 8 22 0 5 0 1 0 1 10 13 4 23 1 7 1 0 0 1 13 13 0.5 20 1 0 0 0 0 0 12 13 0.5 20 1 0 1 0 0 0 15 15 2 21 0 10 1 0 0 1 10 13 6 22 0 6 1 1 0 1 11 8 5 20 0 10 0 0 1 0 12 10 4 19 1…
Nicole and Jen are atidnyjng factors affecting FEV(forced exploratory volume- how much air a person can push out in a forced breath). Their investigation focuses on data from a sample of 12 patients: Patient height(cm) FEV(L) Luve in a smokinghousehold 1 153 2.23 N 2 168 2.98 N 3 183 4.50 N 4 178 4.82 Y 5 185 4.32 N 6 169 3.21 N 7 173 3.69 Y 8 168 2.68 Y 9 157 2.20 Y 10 166 3.35 N 11 171 3.08 N 12 175 3.30 Y q2 a. Based on your scatter plot estimate a correlation coefficient to quantity the relation between height and FEV. Put your answer into one decimal place. b. Use key wits to describe the relationship between the height and FEV VARIABLES c. Jen is form America and more comfortable working with height in feet. If hen converts the height data from the cm to feet(mutlpiy by 0.0328) how will correlation coefficient that you estranged in a perk of change.explain.