Data were collected to explain the number of wins a major league baseball team has based on the earned run average (ERA) of the team’s starting pitchers g) What is the effect on wins of decreasing the ERA by 1 run?*COMPLETE THE TABLE BELOW* ) What is the predicted number of wins for a team with an ERA of 3.50?Regression tquationy =I6S.46 -21.48XSubstitute X35So ý = 165,46 -21, 48X =165,46 21,483,5=165,48 18g) What is the effect on wins of decreasing the ERA by 1 run?90,28 5) Data were collected to explain the number of wins a major league baseball team has based on theearned run average (ERA) of the team's starting pitchersComplete the Table BelowRegressionStatisticsMultiple RR SquareAdjusted R Square0.707Standard ErrorObservations8ANOVASignificance F0.005478716dfMSRegression770.17Residual257.83TotalStandardErrorUpper95%Coefficientst StatP-valueLower 95%Intercept165.4621.380.000ERA-21.485.070.005Based on the regression results, answer the following questionsa) What is the estimated regression equation?Y = I65,46 +(-21,48)e,wins = 165,46 21.48(ERA)b) What percentage of the variation in wins is explained by ERA?R2=SSreg SSptal170,17+257,83 = 1029→770. ni28 50,749 xl 00%E8 'LSZThere fore770.177492% of the varation in wins exp bytc) What is the correlation between wins and ERA?$5trong pos.tive relate btwn winsanderA QCoef - measure of Strength & diretionr=R -Square =0:14 9 192607 ñ6,gcd) What is the standard error of the error term in the regression equation?SE = SSResidualn -2 =257.838-242,97166667 56.56e) Is the coefficient on the variable “ERA" statistically significantly different than 0 at the 10% levelof significance? How do you know?The Independent variable ERA is SignicicantReason: the p-value correspond,ng to ERAis 0,005 which is < theSig Tevel8.

Please find the step by step explanation below. Thank you.

Data were collected to explain the number of wins a major league baseball team has based on the earned run average (ERA) of the team’s starting pitchers g) What is the effect on wins of decreasing the ERA by 1 run?

Data were collected to explain the number of wins a major league baseball team has based on the earned run average (ERA) of the team’s starting pitchers g) What is the effect on wins of decreasing the ERA by 1 run?

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 article “Determination of Most RepresentativeSubdivision” (J. of Energy Engr., 1993: 43–55) gavedata on various characteristics of subdivisions that couldbe used in deciding whether to provide electrical powerusing overhead lines or underground lines. Here are thevalues of the variable x 5 total length of streets within asubdivision:1280 5320 4390 2100 1240 3060 47701050 360 3330 3380 340 1000 9601320 530 3350 540 3870 1250 2400960 1120 2120 450 2250 2320 24003150 5700 5220 500 1850 2460 58502700 2730 1670 100 5770 3150 1890510 240 396 1419 2109a. Construct a stem-and-leaf display using the thousandsdigit as the stem and the hundreds digit as theleaf, and comment on the various features of thedisplay.b. Construct a histogram using class boundaries 0, 1000,2000, 3000, 4000, 5000, and 6000. What proportion of subdivisions have total length less than 2000?Between 2000 and 4000? How would you describethe shape of the histogram?
Calculate Pearson’s coefficient of skewness. Hence, describe the shape of thedistribution of the waiting time for counter A and B.
An automobile dealer conducted a test to determine if the time in minutes needed to complete a minor engine tune-up depends on whether a computerized engine analyzer or an electronic analyzer is used. Because tune-up time varies among compact, intermediate, and full-sized cars, the three types of cars were used as blocks in the experiment. The data obtained follow. Analyzer Computerized Electronic Car Compact 49 41 Intermediate 55 44 Full-sized 64 47 Use ? = 0.05 to test for any significant differences. Find the value of the test statistic. (Round your answer to two decimal places.) Find the p-value. (Round your answer to three decimal places.) p-value =
An automobile dealer conducted a test to determine if the time in minutes needed to complete a minor engine tune-up depends on whether a computerized engine analyzer or an electronic analyzer is used. Because tune-up time varies among compact, intermediate, and full-sized cars, the three types of cars were used as blocks in the experiment. The data obtained follow. Analyzer Computerized Electronic Car Compact 51 42 Intermediate 55 43 Full-sized 62 47 Use ? = 0.05 to test for any significant differences. State the null and alternative hypotheses. H0: ?Computerized ≠ ?ElectronicHa: ?Computerized = ?ElectronicH0: ?Computerized = ?Electronic = ?Compact = ?Intermediate = ?Full-sizedHa: Not all the population means are equal. H0: ?Computerized = ?ElectronicHa: ?Computerized ≠ ?ElectronicH0: ?Compact ≠ ?Intermediate ≠ ?Full-sizedHa: ?Compact = ?Intermediate = ?Full-sizedH0: ?Compact = ?Intermediate = ?Full-sizedHa: ?Compact ≠ ?Intermediate ≠ ?Full-sized Find the value of…
Test the hypothesis that the average weekly allowance of female and male ACC 215 students the same, at 5% level of significance. (Step by step solution without using excel) Weekly Allowance of Students (Php)Male: 1500 2000 2500 2500 2000 1750 2000 1800Female:1500 2000 1750 1500 2000 2500 3000 3500 Decision Rule:Computation:Decision:Conclusion:
Use the data and create a model that estimates a student's giving rate as an alumni based on the three parameters provided. The Graduation Rate variable should be removed from the model because it has the smallest p value. Group of answer choices True False University Graduation Rate % of Classes Under 20 Student-Faculty Ratio Alumni Giving Rate Boston College 85 39 13 25 Brandeis University 79 68 8 33 Brown University 93 60 8 40 California Institute of Technology 85 65 3 46 Carnegie Mellon University 75 67 10 28 Case Western Reserve Univ. 72 52 8 31 College of William and Mary 89 45 12 27 Columbia University 90 69 7 31 Cornell University 91 72 13 35 Dartmouth College 94 61 10 53 Duke University 92 68 8 45 Emory University 84 65 7 37 Georgetown University 91 54 10 29 Harvard University 97 73 8 46 Johns Hopkins University 89 64 9 27 Lehigh University 81 55 11 40 Massachusetts Inst. of Technology 92 65 6 44 New York University 72 63 13 13…
Is the number of square feet of living space a good predictor of a house’s selling price? The following data collected in April, 2015, show the square footage and selling price for fifteen houses in Winston Salem, North Carolina. Size (1000s sq. ft) Selling Price ($1000s) 1.26 117.5 3.02 299.9 1.99 139.0 0.91 45.6 1.87 129.9 2.63 274.9 2.60 259.9 2.27 177.0 2.30 175.0 2.08 189.9 1.12 95.0 1.38 82.1 1.80 169.0 1.57 96.5 1.45 114.9 Develop a scatter diagram with square feet of living space as the independent variable and selling price as the dependent variable. What does the scatter diagram indicate about the relationship between the size of a house and the selling price? a. Develop the estimated regression equation that could be used to predict the selling price given the number of square feet of living space. Please do not hand write. thank you.
1. What is the advantage of using Coefficient of Community over Proportional Similarity and vice versa? 2. Why is the Philippines referred to as a megadiversity hotspot?
Test the hypothesis that the average weekly allowance of female and male ACC 215 students the same, at 5% level of significance. (Step by step solution without using excel) Weekly Allowance of Students (Php) Male: 1500 2000 2500 2500 2000 1750 2000 1800 Female:1500 2000 1750 1500 2000 2500 3000 3500 Ho: Ha: α = Decision Rule: Computation: Decision: Conclusion:
Test the hypothesis that the average weekly allowance of female and male ACC 215 students the same, at 5% level of significance. Weekly Allowance of Students (Php) Male: 1500 2000 2500 2500 2000 1750 2000 1800 Female:1500 2000 1750 1500 2000 2500 3000 3500 Ho: Ha: α = Decision Rule: Computation: Decision: Conclusion:
An industrial engineer is investigating the effect of four assembly methods (A, B, C, D) on the assembly time for a color television component. Four operators are selected for the study. Furthermore, the engineer knows that each assembly method produces such fatigue that the time required for the last assembly may be greater than the time required for the first, regardless of the method. That is, a trend develops in the required assembly time. To account for this source of variability, the engineer uses the Latin square design shown below. Analyze the data from this experiment ( = 0.05) draw appropriate conclusions by conducting hypothesis testing. Order of Operator Assembly 1 2 3 4 1 C=10 D=14 A=7 B=8 2 B=7 C=18 D=11 A=8 3 A=5 B=10 C=11 D=9 4 D=10 A=10 B=12 C=14
For unemployed persons in the United States, the average number of months ofunemployment at the end of December 2009 was approximately seven months(Bureau of Labor Statistics, January 2010). Suppose the following data are for aparticular region in upstate New York. The values in the first column show thenumber of months unemployed and the values in the second column show thecorresponding number of unemployed persons.MonthsUnemployedNumberUnemployed1 10292 16863 22694 26755 34876 46527 41458 35879 2325 10 1120Let x be a random variable indicating the number of months a person is unemployed.a. Use the data to develop an empirical discrete probability distribution for x.b. Show that your probability distribution satisfies the conditions for a validdiscrete probability distribution.c. What is the probability that a person is unemployed for two months or less?Unemployed for more than two months?d. What is the probability that a person is unemployed for more than sixmonths?