Which of the following is true about the socio-ecological impact matrix? O a. It takes a life cycle perspective and considers all relevant social and environmental aspects. O b. It is a heuristic for analysing and visualizing the social and environmental hot spots of a product Oc. The socio-ecological impact matrix is a quantitative instrument. O d. A and B only
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- A 1 Program Per-Year Tuition ($) 62486 68484 67888 HN34567000 2 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 67050 67792 66183 66648 69860 64013 63704 66855 62839 60049 57895 55895 53947 54645 53374 52975 49195 44629 47459 48355 47415 38386 48726 48050 51251 37376 32404 44246 40984 49238 33366 23635 41729 38862 B Mean Starting Salary Upon Graduation ($) 155737 154423 149313 143503 140925 153696 147799 149794 134756 147521 142518 143619 141792 138082 125249 114639 127846 127392 130064 123958 115916 111221 110846 106083 79315 79529 103321 74754 86946 72656 76078 53979 63709 102611 53719 81335 51657 U D E F GPursuing an MBA is a major personal investment. Tuition and expenses associated with business school programs are costly, but the high costs come with hopes of career advancement and high salaries. A prospective MBA student would like to examine the factors that impact starting salary upon graduation and decides to develop a model that uses program per-year tuition as a predictor of starting salary. Data were collected for 37 full-time MBA programs offered at private universities. The data are stored in the accompanying table. Complete parts (a) through (c) below. a. Construct a 95% confidence interval estimate of the mean starting salary upon graduation of an individual program with per-year tuition cost of $50,050. b. Construct a 95% prediction interval of the starting salary upon graduation of an individual program with per-year tuition cost of $50,050.Suppose researchers at an abdominal transplant clinic are concerned about the rate of graft loss due to diabetes status prior to receiving a donor kidney. Research has shown that gender discordance, or receiving a gender from a donor of an opposite gender may increase the risk of both exposure and outcome after transplant. Assume the following tables represent the stratified analysis of the potential confounding variable. (9 points) Gender Discordance Graft Failure No Graft Failure Total Diabetes II 23 10 33 No Diabetes II 4 44 48 Total 27 54 81 Gender Concordance Graft Failure No Graft Failure Total Diabetes II 9 34 43 No Diabetes II 12 87 99 Total 21 121 142 A) Calculate the stratum specific estimates for the odds ratios in each strata. B) Observe the difference in the odds ratios. Based on observation alone, what are we likely to conclude regarding the relationship between outcome and exposure…
- Insurance (Life Expectancy). Insurance companies base their premiums on many factors, but basically all the factors are variables that predict life expectancy. Life expectancy varies from place to place. The following variables are from a data set on various measures obtained from the 50 US states (around 2009) Murder: rate per 100,000 HS Graduation: recorded as a percentage Income: per capita income in dollars Illiteracy: rate per 1,000 Life Expectancy: recorded in years 2008 Electoral vote state color: red / blue State electoral vote color coded: red = 1 / blue = 0 Multiple linear regression results: See Attachments please Write the multiple linear regression equation, use this equation to predict the Life expectancy for Pennsylvania and calculate the residual. Data: State Name Life Expectancy Murder HS Grad Income Illiteracy ColorCode Color Alabama 69.05 15.1 41.3 3624 2.1 1 red Alaska 69.31 11.3 66.7 6315 1.5 1 red Arizona 70.55 7.8 58.1 4530 1.8 1 red Arkansas…4. A Zumba instructor remembers the data given in the following table, which shows the recommended maximum exercise heart rates for individuals of the given ages. Age (x years) 20 40 60 Maximum heart rate 170 153 136 (y beats per minute) a. Find the linear correlation coefficient for the data. b. What is the significance of the value found in part a? c. Find the equation of the least-squares line. d. Use the equation from part c to predict the maximum exercise heart rate for a person who is 72. e. Is the procedure in part d an example of interpolation or extrapolation?5. Economic growth Entrepreneurship employment No. of women entrepreneurs per 100 women 500 45 49 32 234 32 63 12 432 40 41 17 556 56 21 20 765 68 17 65 986 87 79 885 76 63 453 34 25 43 786 56 19 67 776 67 17 60 723 61 20 55 987 88 3 82 Study the table given above and answer the following questions. a. Identify the dependent and independent variables from the above data. b. Explain the relationship between these variables and conduct a literature review on them. c. Calculate correlation coefficient between the variables. Find the coefficient of non determination and the standard error estimate d. Fit regression line and interpret intercept and coefficients. (* e. Draw the scatter plot for Economic growth and entrepreneurship.
- Do single-parent families tend to be more impoverished than families with two parents? In order to test if there is a relationship between family structure and family income level, family researcher studied a sample of 35 one-parent and 65 two-parent families in a particular city to determine whether their total family income fell below the poverty level. _________________________Family Structure____________________________ Total family Income One Parent Two Parents TOTAL Below poverty level 24 20 44 Not Below Poverty Level 11 45 56 Total 35 65 100 What are the independent and dependent variables.? What is the null hypothesis? What test should we use?…Use the advertised prices for used cars of a particular model in the accompanying table to create a linear model for the relationship between a car's Age and its Price. Complete parts a through g. E Click the icon to view the data table. ...... e) You have a chance to buy one of two cars. They are about the same age and appear to be in equally good condition. Would you rather buy the one with a positive residual or the one with a negative residual? Explain. O A. The car with a positive residual is better because its actual price is above the predicted price for its age. Data table O B. The car with a positive residual is better because its actual price is below the predicted price for its age. OC. The car with a negative residual is better because its actual price is above the predicted price for its age. Age (yr) Price Advertised ($) OD. The car with a negative residual is better because its actual price is below the predicted price for its age. 1 17,619 14,999 16,018 13,988 15,009…The type of study that allows us to draw firm conclusions about the cause-and-effect relationship between two variables is a(n): a. experimental or quasi-experimental design b. experimental design c. correlational or quasi-experimental design d. correlational design
- 1. Effect size and Cohen's D: a. What is an effect size? What info does it tell you, when is it calculated, etc.? b. What is Cohen’s d? What info does it tell you about the independent variable and dependent variable? (think of how you write the sentences explaining your numbers)If a predictor variable (x) is highly correlated with another predictor variable (x), the variables are providing essentially the same information. This is best referred to as multi-collinearity. Group of answer choices True False22. Drug use 2013 The 2013 World Drug Report investi- gated the prevalence of drug use as a percentage of the population aged 15 to 64. Data from 32 European countries are shown in the following scatterplot and regression analysis. (Source: World Drug Report, 2013. www.unodc.org/unodc/en/data-and-analysis/ WDR-2013.html) 3.00 E 2.25 1.50 0.75 12 Cannabis (%) Response variable is Cocaine R-squared = 25.8% s - 0.7076 with 32 - 2 = 30 degrees of freedom Variable Coefficient SE(Coeff) -Ratio P-Value Intercept 0.296899 0.2627 1.13 0.2673 Canabis 0.123638 0.0382 3.23 0.0030 a) Explain in context what the regression says. b) State the hypothesis about the slope (both numeri- cally and in words) that describes how use of cannabis (marijuana) is associated with other drugs. c) Assuming that the assumptions for inference are satisfied, perform the hypothesis test and state your conclusion in context. d) Explain what R-squared means in context. e) Do these results indicate that marijuana use…