Compute the t statistic value for the hypothesis the slope is equal to 1.0 Round to two decimal places (e.g., 1.22) Hint: the output shows the standard error for the slope estimate in the slope row and the t value that is shown is a test of Ho: b = 0
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Compute the t statistic value for the hypothesis the slope is equal to 1.0 Round to two decimal places (e.g., 1.22) Hint: the output shows the standard error for the slope estimate in the slope row and the t value that is shown is a test of Ho: b = 0
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- under which conditions measuremnt error is problematic in terms of bias and inconsistency of the ordinary least squares(OLS) estimator.Please fill in the blanks with appropriate answers. - Of all possible estimators of α and β that are linear in the Yi and unbiased, the least squares estimators that have the smallest variances are said to be………………………….…………….……………………………. according to the…..………………………..……………… theorem. - The ……………………………………… is the proportion of the sample variability of the dependent variable explained by its linear relationship with the independent variable. Thanks.An article included a summary of findings regarding the use of SAT I scores, SAT II scores, and high school grade point average (GPA) to predict first-year college GPA. The article states that "among these, SAT II scores are the best predictor, explaining 17 percent of the variance in first-year college grades. GPA was second at 15.2 percent, and SAT I was last at 13.1 percent." If the data from this study were used to fit a least squares line with y = first-year college GPA and x = high school GPA, what would the value of r2 have been? R2 ____________________%
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- In Austria ,The amount of money spent on the restoration of a sanctuary and the distinct kangaroo populations present appeared to have negative correlations For investigation of this onserved assocaition ,what can a resecher do to begin his research 1Conduct an experiment 2Calculate the squares of coreealtion coefficient 3Calculate the least squares regression line 4 calculate the corelation coefficient Explain answer in 1 or 2 linesWhen we use a least-squares line to predict y values for x values beyond the range of x values found in the data, are we extrapolating or interpolating? Are there any concerns about such predictions?The shape of the mean-variance frontier that results from the combination of a riskless and arisky asset is…..:a. Is U-shaped, tilted 90 degrees clockwise.b. Is a straight line passing from the mean-variance points of the two assets.c. Is a hyperbola.d. Consists of two straight lines, each connecting one of the two assets to a risk-freeportfolio
- A new material is being tested for use in the manufacture of electrical conduit, to determine whether it will reduce the variance in crushing strength over the old material. Crushing strengths are measured for a sample of size 16 of the old material and a sample of size 20 of the new material. If it is shown that the crushing strength with the new material has smaller variance, the new material will be used.A simple random sample of 100 men aged 25–34 averaged 70 inches in height, and had astandard deviation of 3 inches. Their incomes averaged $34,900 and had a standarddeviation of $17,200. Fill in the blank: From the least-squares line, we would predict thatthe income of a man 70 inches tall would be _____.a) less than $34,900.b) greater than $34,900.c) equal to $34,900.d) We cannot tell unless we know the correlation.Suppose 5 out of 25 data points in a weighted least-squares problem have a y-measurement that is less reliable than the others, and they are to be weighted half as much as the other 20 points. One method is to weight the 20 points by a factor of 1 and the other 5 by a factor of 1/2. A second method is to weight the 20 points by a factor of 2 and the other 5 by a factor of 1. Do the two methods produce different results? Explain.