a) Interpret the impact of docs on lifeexpf. b) Test whether the model can be used for predicting female life expectancy in a country [use a 95% confidence level] and show your work. c) Does the graph below [a plot of the residuals against fitted values] seem to contradict the answer to part b)? Please explain why or why not.
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- Find the equation of the regression line for the following data set. x 1 2 3 y 0 3 4What does the y -intercept on the graph of a logistic equation correspond to for a population modeled by that equation?The following fictitious table shows kryptonite price, in dollar per gram, t years after 2006. t= Years since 2006 0 1 2 3 4 5 6 7 8 9 10 K= Price 56 51 50 55 58 52 45 43 44 48 51 Make a quartic model of these data. Round the regression parameters to two decimal places.
- Table 6 shows the population, in thousands, of harbor seals in the Wadden Sea over the years 1997 to 2012. a. Let x represent time in years starting with x=0 for the year 1997. Let y represent the number of seals in thousands. Use logistic regression to fit a model to these data. b. Use the model to predict the seal population for the year 2020. c. To the nearest whole number, what is the limiting value of this model?Is carbon dating? Why does it work? Give an example in which carbon dating would be useful.Question #9 Find the regression equation, letting the first variable be the predictor (x) variable. Using the listed lemon/crash data, where lemon imports are in metric tons and the fatality rates are per 100,000 people, find the best predicted crash fatality rate for a year in which there are 400metric tons of lemon imports. Is the prediction worthwhile? Lemon Imports 233 269 364 492 548 Crash Fatality Rate 15.9 15.7 15.4 15.4 15 Find the equation of the regression line. y= ___________+( __________ ) x (Round the y-intercept to three decimal places as needed. Round the slope to four decimal places as needed.) The best predicted crash fatality rate for a year in which there are 400 metric tons of lemon imports is _________fatalities per 100,000 population. (Round to one decimal place as needed.) Is the prediction worthwhile? A. Since all of the requirements for finding the equation of the regression line are…
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- question 3 part 2 (thats the equation for the problem) The following estimated regression equation based on 10 observations was presented. ŷ = 21.1270 + 0.5508x1 + 0.4940x2 Here, SST = 6,736.125, SSR = 6,218.375, sb1 = 0.0815, and sb2 = 0.0561.Question 18 At a local club, the ages of the members and the times they took to run a 10 km race are recorded. For a random sample of 25 club members aged between 27 and 60, their ages (x years) and times (y minutes) produce the following regression line. y = 0.83x + 41.28Four new members join the club. Their respective ages (in years) are 26, 18, 22, and 28. When the respective race times for the 4 new members are estimated, which one of these estimated race times is the most reliable?A. 62.86 minutesB. 56.22 minutesC. 59.54 minutesD. 64.52 minutesSection 10.2 Question #7 Listed below are systolic blood pressure measurements (in mm Hg) obtained from the same woman. Find the regression equation, letting the right arm blood pressure be the predictor (x) variable. Find the best predicted systolic blood pressure in the left arm given that the systolic blood pressure in the right arm is 85mm Hg. Use a significance level of 0.05. Right Arm 103 102 96 79 79 Left Arm 174 167 147 143 145 View the critical values of the Pearson correlation coefficient r Data table Dialog content starts Critical Values of the Pearson Correlation Coefficient r n α=0.05 α=0.01 NOTE: To test H0: ρ=0 against H1: ρ≠0,reject H0 if the absolute value of r is greater than the critical value in the table. 4 0.950 0.990 5 0.878 0.959 6 0.811 0.917 7 0.754 0.875 8 0.707 0.834 9 0.666 0.798 10 0.632 0.765 11 0.602 0.735 12 0.576…