Let x be a random variable representing percentage change in neighborhood population in the past few years, and let y be a random variable representing crime rate (crimes per 1000 population). A random sample of six Denver neighborhoods gave the following information. x 26 3 11 17 7 6 y 174 34 132 127 69 53 In this setting we have Σx = 70, Σy = 589, Σx2 = 1180, Σy2 = 72,555, and Σxy = 9038. (a) Find x, y, b, and the equation of the least-squares line. (Round your answers for x and y to two decimal places. Round your least-squares estimates to four decimal places.) x = 11.67 Correct: Your answer is correct. y = 98.167 Correct: Your answer is correct. b = ŷ = + x (b) Draw a scatter diagram displaying the data. Graph the least-squares line on your scatter diagram. Be sure to plot the point (x, y). WebAssign Plot WebAssign Plot WebAssign Plot WebAssign Plot Correct: Your answer is correct. (c) Find the sample correlation coefficient r and the coefficient of determination. (Round your answers to three decimal places.) r = .936 Correct: Your answer is correct. r2 = .877 Correct: Your answer is correct. What percentage of variation in y is explained by the least-squares model? (Round your answer to one decimal place.) % (d) Test the claim that the population correlation coefficient ρ is not zero at the 1% level of significance. (Round your test statistic to three decimal places.) t = Find or estimate the P-value of the test statistic. P-value > 0.250 0.125 < P-value < 0.250 0.100 < P-value < 0.125 0.075 < P-value < 0.100 0.050 < P-value < 0.075 0.025 < P-value < 0.050 0.010 < P-value < 0.025 0.005 < P-value < 0.010 0.0005 < P-value < 0.005 P-value < 0.0005 Correct: Your answer is correct. Conclusion Reject the null hypothesis, there is sufficient evidence that ρ differs from 0. Reject the null hypothesis, there is insufficient evidence that ρ differs from 0. Fail to reject the null hypothesis, there is sufficient evidence that ρ differs from 0. Fail to reject the null hypothesis, there is insufficient evidence that ρ differs from 0. Correct: Your answer is correct. (e) For a neighborhood with x = 24% change in population in the past few years, predict the change in the crime rate (per 1000 residents). (Round your answer to one decimal place.) crimes per 1000 residents (f) Find Se. (Round your answer to three decimal places.) Se = (g) Find an 80% confidence interval for the change in crime rate when the percentage change in population is x = 24%. (Round your answers to one decimal place.) lower limit crimes per 1000 residents upper limit crimes per 1000 residents (h) Test the claim that the slope β of the population least-squares line is not zero at the 1% level of significance. (Round your test statistic to three decimal places.) t = Find or estimate the P-value of the test statistic. P-value > 0.250 0.125 < P-value < 0.250 0.100 < P-value < 0.125 0.075 < P-value < 0.100 0.050 < P-value < 0.075 0.025 < P-value < 0.050 0.010 < P-value < 0.025 0.005 < P-value < 0.010 0.0005 < P-value < 0.005 P-value < 0.0005 Correct: Your answer is correct. Conclusion Reject the null hypothesis, there is sufficient evidence that β differs from 0. Reject the null hypothesis, there is insufficient evidence that β differs from 0. Fail to reject the null hypothesis, there is sufficient evidence that β differs from 0. Fail to reject the null hypothesis, there is insufficient evidence that β differs from 0. Correct: Your answer is correct. (i) Find an 80% confidence interval for β and interpret its meaning. (Round your answers to three decimal places.) lower limit upper limit Interpretation For every percentage point increase in population, the crime rate per 1,000 increases by an amount that falls outside the confidence interval. For every percentage point decrease in population, the crime rate per 1,000 increases by an amount that falls outside the confidence interval. For every percentage point increase in population, the crime rate per 1,000 increases by an amount that falls within the confidence interval. For every percentage point decrease in population, the crime rate per 1,000 increases by an amount that falls within the confidence interval. Correct: Your answer is correct. Need Help? Read It
Continuous Probability Distributions
Probability distributions are of two types, which are continuous probability distributions and discrete probability distributions. A continuous probability distribution contains an infinite number of values. For example, if time is infinite: you could count from 0 to a trillion seconds, billion seconds, so on indefinitely. A discrete probability distribution consists of only a countable set of possible values.
Normal Distribution
Suppose we had to design a bathroom weighing scale, how would we decide what should be the range of the weighing machine? Would we take the highest recorded human weight in history and use that as the upper limit for our weighing scale? This may not be a great idea as the sensitivity of the scale would get reduced if the range is too large. At the same time, if we keep the upper limit too low, it may not be usable for a large percentage of the population!
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