This is statistics course and I need help with solving these questions. It's Cumulative Review unit.

D Question 2 10 pts 2. The US Census tracks the percentage of persons 25 years or older who are college graduates. That data for several years is given in the table below. In the table below, x represents the number of years since 1990 and y represents the percent of college graduates. Year 2 8 10 12 14 16 18 Percent 21.3 21.4 22.2 123.6 24.4 25.6 28 129.4 Graduates 26.7 27.7 a. Use your calculator to determine the linear regression equation. Round your slope and y-intercept to the nearest hundredth. [ Select ] x + 20.75 b. Use your calculator to determine the correlation coefficient and describe what it implies about the data. [ Select ] Select] r-0.85 which implies a weak positive correlation c. Use the table in your calculator to r=0.91 which implies a strong positive correlation r#0.99 which implies a strong positive correlation s or old in the year 2016. Round to the nearest whole percent. [ Select ] % d. Assuming the trend continues, use the table in your calculator to estimate in what year the percentage exceeds 35%. [ Select ]D Question 2 10 pts 2. The US Census tracks the percentage of persons 25 years or older who are college graduates. That data for several years is given in the table below. In the table below, x represents the number of years since 1990 and y represents the percent of college graduates. Year 0 8 10 12 14 16 18 Percent 21.3 21.4 122.2 23.6 24.4 25.6 26.7 27.7 28 129.4 Graduates a. Use your calculator to determine the linear regression equation. Round your slope and y-intercept to the nearest hundredth. [ Select ] x + 20.75 b. Use your calculator to determine the correlation coefficient and describe what it implies about the data. [ Select ] c. Use the table in your calculator to approximate the percent of college graduates 25 years or old in the year 2016. Round to the nearest whole percent. [ Select ] [ Select 24 d. Assuming the trend continues, use 33 37 ate in what year the percentage exceeds 35%. [ Select ]D Question 2 10 pts 2. The US Census tracks the percentage of persons 25 years or older who are college graduates. That data for several years is given in the table below. In the table below, x represents the number of years since 1990 and y represents the percent of college graduates. Year 0 2 6 8 10 12 14 16 18 Percent Graduates 21.3 21.4 22.2 23.6 24.4 25.6 26.7 27.7 28 129.4 a. Use your calculator to determine the linear regression equation. Round your slope and y-intercept to the nearest hundredth. [ Select ] v x + 20.75 b. Use your calculator to determine the correlation coefficient and describe what it implies about the data. [ Select ] c. Use the table in your calculator to approximate the percent of college graduates 25 years or old in the year 2016. Round to the nearest whole percent. [Select ] d. Assuming the trend continues, use the table in your calculator to estimate in what year the percentage exceeds 35%. [Select ] [ Select ] 29 years after 1990, which is 2019 30 years after 1990, which is 2020 31 years after 1990, which is 2021D Question 3 10 pts 3. A regression was run to determine whether there is a relationship between the diameter of a tree (x, in inches) and the tree's age (y, in years). The results of the regression are given below. y = ax + b a = 6.301 b = -1.044 r = -0.970 Content modified from OpenStax College, College Algebra, 2015. Download for free at http://cnx.org/content/col11759/latest According to the correlation coefficient, what type of correlation does this data have? [ Choose ] [ Choose ] 58.273 Use this to predict the age of a tree with 73.874 diameter 10 inches 61.966 weak negative strong positive 63.218 strong negative D weak positive Question 4 10 ptsQuestion 3 10 pts 3. A regression was run to determine whether there is a relationship between the diameter of a tree (x, in inches) and the tree's age (y, in years). The results of the regression are given below. y = ax + b a = 6.301 b = -1.044 r = -0.970 Content modified from OpenStax College, College Algebra, 2015. Download for free at http://cox.org/content/col11759/latest According to the correlation coefficient, what type of correlation does this data have? [ Choose ] Use this to predict the age of a tree with diameter 10 inches [ Choose [Choose 58.273 73.874 61.966 weak negative Question 4 strong positive 10 pts 63.218 strong negative weak positive 3. The ages of thirty college seniors were recorded in the frequency table below. What is the median age of these students? What is the mean age?Question 5 10 pts 5. Use the drop down menus to complete the true/false statements based on the graphed data and correlation coefficients shown below. LO 10 10 10 WV Figure &. Phoned autos and i) When we have a correlation coefficient of zero we can say there is no pattern in the data. [ Select ] [ Select True ill have a correlation coefficient of 1.0. False This image adapted from OpenStax College and Denis Bolgelot from Wikimedia Commons. Download for free at http://enix.org/contents/30189442-6998-4606-ac05 ed152691bodeg 18.13D Question 5 10 pts 5. Use the drop down menus to complete the true/false statements based on the graphed data and correlation coefficients shown below. 10 10 1.0 -10 0.0 WV i) When we have a correlation coefficient of zero we can say there is no pattern in the data. [ Select ] ii) Data that is perfectly linear will have a correlation coefficient of 1.0. [ Select ] Select True Bolgelat from Wikimedia Commons. Download for free at http:/jenx.org/contents/30189442-6990-4608 mc05 FalseD Question 2 10 pts 2. The US Census tracks the percentage of persons 25 years or older who are college graduates. That data for several years is given in the table below. In the table below, x represents the number of years since 1990 and y represents the percent of college graduates. Year 0 10 12 14 16 18 Percent Graduates 21.3 121.4 22.2 123.6 24.4 125.6 26.7 27.7 28 29.4 a. Use your calculator to determine the linear regression equation. Round your slope and y-intercept to the nearest hundredth. y = [ Select ] x + 20.75 Select 0.48 b. Use your calculator to determine 0.52 0.65 cribe what it implies about the data. [ Select ] c. Use the table in your calculator to approximate the percent of college graduates 25 years or old in the year 2016. Round to the nearest whole percent. [ Select ] % d. Assuming the trend continues, use the table in your calculator to estimate in what year the percentage exceeds 35%. [ Select ]Question 6 10 pts 6. Assume that a random sample of 100 male athletes and 100 female athletes is used to create a 95% condence interval for the true difference between the mean ages of male and female athletes. Consider each of the following intervals which could have been constructed from this sample. Which of these intervals indicates that we do not have statistical evidence that there is a significant difference in the mean ages of male and female athletes? D (2.1,52} D {-05.42} [:1 (2.2, 1.1} D (-5.1, -1.6} D Question 7 10 pts 7. Which of these is true for a Chi-square distribution with df = 87? O The distribution is approximately normal with a mean of 87. O The distribution is approximately normal with a mean of 13.19. O The distribution is approximately normal with a mean of 872. O X cannot be approximated by a normal distribution unless df > 90. O X cannot be approximated by a normal distribution unless df > 100. D Question 8 10 pts 8. Suppose your friend rolls a die 60 times. He claims he can predict the future and predicts that one number will appear fewer than five times. The results of the 60 rolls are shown below. Number showing Frequency 4 11 3 12 11 5 13 9 At a significance level of 10%, do you have enough evidence to claim your friend is not playing with a fair die? O No, because the P-value is 0.215. O No, because the P-value is 0.392 O No, because the sample size is too large. O Yes, because the P-value is 0.215. O Yes, because the P-value is 0.392.Question 4 10 pts 3. The ages of thirty college seniors were recorded in the frequency table below. What is the median age of these students? What is the mean age? mean 23.8, median 23 mean 24.5, median 24.5 mean 24, median 24.5 mean 24, median 23.8 0 O O O 0 mean 23.8, median 24