Question 19 What is the R-Squared value from the below data? Table 2 ANOVA Regression Residual Total 0.5358 O 0.7320 0.7976 0.8931 df SS 1 2,356.9 28 598.2 29 2,955.1 MS 2,356.9 21.4 F Significance F 3.2E-11 110.3.
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- Q.3 What is the difference between ordinary least square and maximum likelihood ( ML ) estimators ? Also discuss their properties ?What is the lowest level of measurement for the data where the mode could bedetermined?A. NominalB. OrdinalC. IntervalD. Ratio Consider a data set of 11 distinct measurements with mean equal to A and median equalto B. If the highest value was decreased to a value smaller than the median B, how wouldthe mean and median be affected?A. The mean and median will both decrease.B. The mean and median will not change.C. The mean will not change and the median will decrease.D. The mean will decrease and the median will not change. What is one distinction between a parameter and a statistic?A. A parameter is only based on conceptual measurements, but a statistic is basedon a combination of real and conceptual measurements.B. A statistic changes every time you try to measure it (using different samples), but aparameter remains fixed.C. A parameter changes each time you try to measure it, but a statistic remains fixedacross samples.D. The true value of a statistic can never be known but the true…25) Consider the estimated equation from your textbook = 698.9 - 2.28STR, R2 = 0.051, SER = 18.6, Corresponding standard errors of coefficients are as such: SE (698.9) = 10.4 SE (-2.28) = 0.52 The absolute value of t-statistic for the slope is approximately: A. 67.20 B. 1.76 C. -4.38 D. 0.52
- Define Sampling Distribution of the OLS Estimator?1) In the method,two independent variable are assumed to have; a)Low collinearity b)High collinearity c)No collinearity d)Perfect collinearity 2) If variance of coefficient cannot be applied, we cannot conduct test for; a) Correlation b) Determination c)Significant d) Residual term1. R-squaredSuppose regression of y on an intercept and x with 50 observations yields total sum of squares 100 andexplained sum of squares 36.(a) What is ?^2?(b) What is the correlation coefficient between y and x?(c) What is the standard error of the residual?
- Can help me with questions 42? I guess it, but I think it’s incorrect.Identify the independent variable (IV) and dependent variable (DV) used in the study, and the levels ofmeasurement of the IV and DV.With Panel Data, if we assume that the individual effects vi are not correlated with the regressors Xit (i.e. E(vi|Xit) = 0), which one of the following statements is correct: The Fixed Effects estimator is not consistent. Both the OLS and the Random Effects estimators are not consistent. The OLS estimator is not consistent, but the Random Effects estimator is consistent. The OLS and the Random Effects estimator are consistent. All of the above. None of the above
- Your friend - an artist - has asked you to help her determine how many paintings sized 50x150cm she should paint for sale. She's deciding between one, two, three, or four paintings. Your friend sells the paintings for 300 monetary units each. She spends 8 hours on each painting (1 hour of work = 15 monetary units). Additionally, each painting incurs an extra cost of 40 monetary units (for canvas, backing, paints, brushes, sprays). Based on past data, you estimate that with a probability of 0.2, there will be no potential buyers; with a probability of 0.2, there will be one potential buyer; with a probability of 0.2, there will be two potential buyers; with a probability of 0.3, there will be three potential buyers; with a probability of 0.1, there will be four potential buyers. Assume that if there are fewer paintings produced than potential buyers, some (randomly selected) potential buyers will remain without a painting; otherwise, all potential buyers will purchase exactly one…For exercise 4, repeat the analysis done for questions of part a), b) & c) above(look at the attached image) a. Explain whether the specification uses a pre-post or a simple difference method? Discuss the counterfactual in the specification above. b. Using the specification above, discuss whether you would be able to estimate an unbiased estimate on the effect of BSM on students' test scores