ECON 2220 E Fall 2023 Assignment 3

Use the following STATA output to test whether the variable wgt is significant at 5% level: Source | SS df Number of obs = EC 3. Prob > F R-squared MS 392 300.76 0.0000 0.6993 Adj R-squared anba6970 4.2965 388) = Model Juu16656.4443 Residual 162,54916 5552.1481 388 18.4601782 Total Juu23818.9935 391 60.9181419 Root MSE Coef. Std. Err. P>It| [95% Conf. Interval] syl ena wat .2677968 -.012674 -.0057079 44.37096 .4130673 .0082501 .0007139 1.480685 -0.65 -1.54 -8.00 29.97 0.517 0.125 0.000 0.000 -1.079927 -.0288944 -.0071115 41.45979 .5443336 0035465 .0043043 47.28213 _cons The variable is not significant because p-value is less than 0.05. The variable is significant because p-value is less than 0.05. The variable is significant because p-value is less than 0.1. The variable is not significant because p-value is greater than 0.05

TRUE OR FALSE.  When heterosdasticity is present OLS estimators are still BLUE.

The following data concern one of the most popular products of XYZ Manufacturing. Estimate the selling price per unit.

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Final Scores Did not Attend Sections Attended Sections 75 Raghav Absent Raghav Present 85 80 86 After really poor attendance in the final few sections, Raghav has been throw into a deep existential nightmare. He doubts the very validity of his existence and wonders if at all he can be an effective teacher. The above table gives the observable scores of students in the final exam of those who attended and did not attend section, and hypothetical scores in case students turned up for sections but Raghav was absent. Question 7 Is Raghav really effective as a teacher? Should he continue his professorial aspirations? What is his true effect? (Provide a numerical answer given the above table)

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At an output of 14, MC = $50 and ATC = $55. At an output of 15, MC = $65 and ATC= $56. Estimate the ATC at the break-even point

A sample of 50 UNR students was randomly selected. A question asked was about annual cost of driving a car and 50 numbers were collected. (Have you ever calculated how much costs you to drive your vehicle annually? The costs should include DMV registration, insurance, gas ( weekly cost times 52), parking, repair and maintenance, tickets/fines, and depreciation. If you have not, find it out. Often, the number is much higher than what you would think.) The sample variance a. should equal to the population variance. b. would change depending on the students included in the sample. c. should be smaller than the sample mean. d. should be smaller than the sample standard deviation. Ĉ 26. A sample of 50 UNR students was randomly selected. A question asked was about annual cost of driving a car and 50 numbers were collected. (Have you ever calculated how much costs you to drive your vehicle annually? The costs should include DMV registration, insurance, gas (weekly cost times 52), parking,…

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Plastic cups are made by forming of raw plastic. The price of plastic is 4.500 OMR per kg and the price of plastic cups is 13 OMR per 1000 cups. Plant requires differ- ent machine which cost about 50,000 OMR, but the machines has to be imported, after paying 25% as customs duty. On a graph paper, draw a freehand graph and represent all important parameters. Due to increase in plastic price, the break-even quantity has increased by 10%. Find out the new plastic price?

A10

One question but then there was just two part. Due to the sizing, wasnt able to put the whole question in one picture. Please help !!! Note:- Please avoid using ChatGPT and refrain from providing handwritten solutions; otherwise, I will definitely give a downvote. Also, be mindful of plagiarism.Answer completely and accurate answer.Rest assured, you will receive an upvote if the answer is accurate.

2. Consider the following regression model and the result of estimation: distance Bo + B,angle + u %3D Where: distance = distance (in feet) traveled by a baseball, angle = the angle (in degrees) the baseball was hit, %3! u= regression error. Dependent Variable: DISTANCE Method: Least Squares Sample: 1 13 Included observations: 13 Variable Coefficient Std. Error t-Statistic Prob. C. ANGLE 32.93084 0.785542 5.146819 1.981191 0.0003 0.0731 169.4891 1.556309 a) Breusch-Godfrey test has been performed that produced the following result. Discuss the test result. Breusch-Godfrey Serial Correlation LM Test: Null hypothesis: No serial correlation at up to 2 lags F-statistic 6.534685 Prob. F(2,9) 7.698535 Prob. Chi-Square(2) 0.0177 0.0213 Obs R-squared b) RESET test has been performed that produced the following result. Discuss the test result. Ramsey RESET Test Equation: EQ01 Specification: DISTANCE C ANGLE Omitted Variables: Powers of fitted values from 2 to 3 Value 475.8260 60.71504 df…

A time-study technician at the Southern Textile Companyhas conducted a time study of a spinning machine operatorthat spins rough cotton yarn into a finer yarn on bobbins foruse in a weaving operation. The time study was requestedas the result of a union grievance. The average cycle time for the operator to replace all the full bobbins on the ma-chine with empty bobbins was 3.62 minutes. The technician assigned an overall performance rating for the job of 100%,and the allowance factor specified by the union contract is15%. Compute the standard time for this job.

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(a) Tell what each of the residual plots to the right indicates about the appropriateness of the linear model that was fit to the data. X-values (a) Choose the best answer for residuals plot (a). O A. The curved pattern in the residuals plot indicates that the linear model is not appropriate. The relationship is not linear. O B. The fanned pattern indicates that the linear model is not appropriate. The model's predicting power decreases as the values of the explanatory variable increases. O C. The scattered residuals plot indicates an appropriate linear model. (b) Choose the best answer for residuals plot (b). O A. The curved pattern in the residuals plot indicates that the linear model is not appropriate. The relationship is not linear. O B. The scattered residuals plot indicates an appropriate linear model. O C. The fanned pattern indicates that the linear model is not appropriate. The model's predicting power increases as the values of the explanatory variable increases. (c) Choose…

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PLS HELP ASAP ON BOTH

12- Which of the following is true in case of measurement error in the regressor? a) O Predictors are biased and consistent 35 b) O Predictors are unbiased and consistent C) O Predictors are unbiased and inconsistent d) O Predictors are biased and inconsistent Leave blank

0.33 is the right answer for the first part. I just want to know how they got 0.33. Also the second part I need help on. Note:- Please avoid using ChatGPT and refrain from providing handwritten solutions; otherwise, I will definitely give a downvote. Also, be mindful of plagiarism. Answer completely and accurate answer. Rest assured, you will receive an upvote if the answer is accurate.

I am struggling with how to rearrange the Qs and Qd equa. at the beginning so I am getting stuck in the middle. I already submitted this question and I understand the 1.25  answer its more so the breakdown of rearranging the P=20-1/3Qd   and the P= -10 +1/5Qs

9

Please solve and demonstate how to apply this on excel using pivot table.

Please no written by hand solution

In the December, 1969, American Economic Review (pp. 886-896), Nathanial Leff reports thefollowing least squares regression results for a cross section study of the effect of age composition onsavings in 74 countries in 1964:log S/Y = 7.3439 + 0.1596 log Y/N + 0.0254 log G - 1.3520 log D1 - 0.3990 log D2 (R2= 0.57)log S/N = 8.7851 + 1.1486 log Y/N + 0.0265 log G - 1.3438 log D1 - 0.3966 log D2 (R2= 0.96)where S/Y = domestic savings ratio, S/N = per capita savings, Y/N = per capita income, D1 = percentage ofthe population under 15, D2 = percentage of the population over 64, and G = growth rate of per capitaincome. Are these results correct? Explain..

If the error term is correlated with any of the independent variables, the OLS estimators are: a. biased and consistent. b. unbiased and inconsistent. C. biased and inconsistent. d. unbiased and consistent. O a. a O b. b О с. с O d. d

The question is the last bolded test. You need the previous questions to answer the last. Thank you for your time and help.  You are the manager of a firm that sells CR2032 batteries for car key fobs and other electronic goods.  You typically sell the fobs for $7 for a four-pack and sell an average of 27,192 four-packs per month.  Due to increased labor costs, you decide to raise the price to $9 per four-pack.  When you do this your monthly sales fall to 22,248 four-packs  Assuming that your firm’s demand function is linear (i.e., takes the form ), calculate the linear demand function 22,248-27,192/9-7= -4944/2= -2472 Demand equation as 27,192 = a-2472(7) => a=27192+17304 =>a=44,496 27192= -2472x7+b 27192= -17304+b 27192+17304=44,496 Demand function is Q= -2472P+44,496 . Using the demand function that you estimated in the previous problem  Calculate demand and total revenue when the price is $7 Q= -2472x7+44,496= -17,304+44,496= 27,192 Total revenue=PxQ=7x27,192=…