Explain why the coefficient for "wagegov" changed (compared to the previous regression) when the two controls were added. Source |SSModel | 1110.57029| 23.2045911Total |1133.77488consump |Coef.profits.5888685wagepriv.5219979wagegovt-.9060749.7230873year |depression | .1799651cons29.49588ResidualdfMS5222.1140571.450286941621 53.9892799tP>|t|3.00 0.0094.14 0.001-1.28 0.2192.61 0.0190.09 0.9305.31 0.000Std. Err.1965238.125954.7076281.27664542.0208385.556587Number of obs16)F ( 5,Prob > FR-squaredAdj R-squaredRoot MSE22153.150.00000.97950.97311.2043[95% Conf. Interval].17225671.00548.25498727890085-2.40618.5940298.13662521.309549-4.1040194.4639517.7164441.27532= Source |ModelResidual |SS1097.6880936.0867872Total | 1133.77488Coef..3845354.71928321.103315_cons | 15.51946consumpprofitswageprivwagegovtdf31821Std. Err.1513011.122759825260761.870873MS365.896032.0048215153.9892799tP>|t|2.54 0.0205.86 0.0004.37 0.0008.30 0.000Number of obs =22F ( 3,18)=182.51Prob > F=0.0000R-squared=0.9682Adj R-squared=0.9629Root MSE=1.4159[95% Conf. Interval].06666367024071.4613744.9771921.57260591.63402411.588919.45001

Regression Analysis: An effective statistical tool for exploring the relationship between two or…

Answered: Explain why the coefficient for…

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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The manufacturer of a sports car claims that the fuel injection system lasts at least 48 months before it needs to be replaced. A consumer group does not believe this claim. The consumer group believes that it must be less than 48 months. The consumer group tests th the manufacturer's claim by surveying a random sample of 15 sports car owners who had the fuel injection system replaced. The ages of sports cars at the time of replacement were (in months) as follows: Assume that that the age of sports cars at the time of replacement is normally distributed. 29 42 49 48 53 46 30 51 42 52 38 47 50 34 52 Read part-a through part-f of this question fully and do them please. In your answers, please keep the appropriate number of decimals as requested in each part of the question. A. Compute the mean and the standard deviation of the above sample data. Be sure to find the appropriate standard deviation for purposes of carrying out the hypothesis test of interest. a. Sample…
Two different types of injection-moulding machines are used to form plastic parts. A part is considered defective if it has excessive shrinkage or is discoloured. Two random samples, each of size 300, are selected, and 13 defective parts are found in the sample from machine 1, and 8 defective parts are found in the sample from machine 2. Is it reasonable to conclude that both machines produce the same fraction of defective parts, using α = 0.05, find the value of zcalc? Please report your answer upto 2 decimal places.
The following record taken for a sample of 5 pieces from a process each hour for a period of 24 hours. Determine the trial central line and control limits. If any points are out of control, assume assignable causes and calculate revised limits and central line.
an old house in philadelphia is inhibited by a variety of ghosts. appearances occur in the house according to a poisson process having a rate of 1.4 ghosts per hour. A professor from transylvannia university has developed a device which can be used to detect ghost appearances. suppose the device is developed is to be installed in the house and switched on at 8 am what is the probability that the 4th ghost appears more than 30 minutes after the 3rd ghost
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Consider a Poisson distrobution with a mean of two occurences per time period. A) Compute the probability of two occurences in two time periods (to 4 decimals) B) Compute the probability of four occurences in one time period (to 4 decimals) C) Compute the probability of seven occurences in three time periods (to 4 decimals)
A marriage counselor has traditionally seen that the proportion p of all married couples for whom her communication program can prevent divorce is 79%. After making some recent changes, the marriage counselor now claims that her program can prevent divorce in mot e than 79% of married couples. In a random sample of 225 married couples who completed her program, 194 of them stayed together. is there enougn evidence to suppore che marriage counselor's claim at the 0.10 level of sionificance:
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