The correlation between the number of uninsured in 2006 and 2007 is calculated to be: 0.998067. Can you conclude from the high correlation that the numbers of insured remained approximately the same in 2006 and 2007? More generally, does a high correlation indicate that the response and explanatory variables are similar? O True O False
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- The "spring-like effect" in a golf club could be determined by measuring the coefficient of restitution (the ratio of the outbound velocity to the inbound velocity of a golf ball fired at the clubhead). Twelve randomly selected drivers produced by two clubmakers are tested and the coefficient of restitution measured. The data follow: Club 1: 0.8406, 0.8104, 0.8234, 0.8198, 0.8235, 0.8562, 0.8123, 0.7976, 0.8184, 0.8265, 0.7773, 0.7871 Club 2: 0.8305, 0.7905, 0.8352, 0.8380, 0.8145, 0.8465, 0.8244, 0.8014, 0.8309, 0.8405, 0.8256, 0.8476 Test the hypothesis that both brands of ball have equal mean overall distance. Use α = 0.05 and assume equal variances. Question: Reject H0 if t0 < ___ or if t0 > ___.Plz answer for the critical value as wellonly define the parameter and write the null and alternative hypotheses The production line for Glow toothpaste is designed to fill tubes with a mean weight of 6 oz.Periodically, a sample of 35 tubes will be selected in order to check the filling process. Qualityassurance procedures call for the continuation of the filling weight for the population of toothpastetubes is 6 ounces; otherwise the processes will be adjusted. Suppose a sample of 35 toothpaste tubesprovides a sample mean of 6.1 oz and standard deviation of 0.2 oz. State the parameter and both hypotheses to help determine whether the filling process should continue operating or be stopped and corrected.
- Please also give the t test statistics and crítica value to test the claim that ud =0Assume that you have collected cross-sectional data for average hourly earnings (ahe), the number of years of education (educ) and gender of the individuals (you have coded individuals as "1" if they are female and "0" if they are male; the name of the resulting variable is DFemme). Having faced recent tuition hikes at your university, you are interested in the return to education, that is, how much more will you earn extra for an additional year of being at your institution. To investigate this question, you run the following regression: ahe= -4.58 + 1.71×educ N = 14,925, R2 = 0.18, SER = 9.30 a. Interpret the regression output. b. Being a female, you wonder how these results are affected if you entered a binary variable (DFemme), which takes on the value of "1" if the individual is a female, and is "0" for males. The result is as follows ahe= = -3.44 - 4.09×DFemme + 1.76×educ N = 14,925, R2 = 0.22, SER = 9.08 Does it make sense that the standard error of the regression decreased…Use linear approximation to estimate the given number.
- Is there a significant difference in the competency in basic calculus of the students based from their pre-test and post-test conducted by their teacher? Use alpha at 0.05 (Data as followed)a) Analytically b) Single application of trapezoidal rule c) Determine the percent relative error based on (a)Find the slope and y-intercept of the line through the point (7,4) that cuts off the least area from the first quadrant.