Let kids denote the number of children ever born to a woman and let educ denote years of education for the woman. A simple model relating to the years of education is Kids = Bo+ Bieduc + u Where u in the unobserved error. (a) List three (3) factors are constrained in u?| (b) Are the factors listed in (1la) likely to be correlated with the level of education? (c) Will a simple regression analysis uncover the ceteris paribus effect of education on fertility?
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Part A
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- a. Find the equation of the least-squares line for the data. Rounds constants to the nearestt thousandth b. Use the equation from part a to predict the retail price of a 2010 Corvette with anodometer reading of 30,000. c. Find the linear correlation coefficient of these data.a. In a left-tailed test, α=.05, the critical value of z is:-1.645-1.962.33-2.58 b. The ____________ is the same as the point-slope form equation of a line, that is used for prediction.trendlineregression linefrequency polygonnone of thesec. If two variables are significantly correlated, we can predict the value of the dependent variable if we know the value of the independent variable. The process is called _______correlation analysishypothesis testingregression analysisestimationd. Involves two variables that are taken from a sample or population.univariate databivariate datahypothesisestimatee. For the decision rule: Reject the null hypothesis if the computed statistic _______ positive critical value or if the computed value statistic is ______ negative critical value.≥ ; ≤> ; <= ; <> ; =f. An intelligent guess about the characteristic of a population is calledmeanproportionhypothesistest statisticUsing a matched-group design is especially important in which of the following cases? a. When you have only a few people in your study b. When you have at least three levels/conditions of the independent variable c. When you do not have a control group d. When you have a complex dependent variable Answer is A. But I don't understand why... could you explain? Matched-groups designs is used to address possible selection effects??but how ? and is that related to this question?
- A box office analyst seeks to predict opening weekend box office gross for movies. Toward this goal, the analyst plans to use online trailer views as a predictor. For each of the 66 movies, the number of online trailer views from the release of the trailer through the Saturday before a movie opens and the opening weekend box office gross (in millions of dollars) are collected and stored in the accompanying table. The least-squares regression equation for these data is Yi=−1.213+1.417Xiand the standard error of the estimate is SYX=19.599. Assume that the straight-line model is appropriate and there are no serious violations the assumptions of the least-squares regression model. Complete parts: a. At the 0.10 level of significance, is there evidence of a linear relationship between online trailer views and opening weekend box office gross? Determine the hypotheses for the test. b. Construct a 95% confidence interval estimate of the population slope, β1. c. Construct a…A box office analyst seeks to predict opening weekend box office gross for movies. Toward this goal, the analyst plans to use online trailer views as a predictor. For each of the 66 movies, the number of online trailer views from the release of the trailer through the Saturday before a movie opens and the opening weekend box office gross (in millions of dollars) are collected and stored in the accompanying table. The least-squares regression equation for these data is Yi=−1.660+1.417Xi and the standard error of the estimate is SYX=19.349. Assume that the straight-line model is appropriate and there are no serious violations the assumptions of the least-squares regression model.In a study of association between age (x) and the abil-ity to recall a list of animal names (y), the residual for the data point (5, 13) is 2, and the residual for the datapoint (7, 20) is -1. What is the slope of the least-squaresregression line?A) 1 B) 2 C) 3 D) 4 E) 5