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- If my hypothesis assumes that religious women are more satisfied with life than men, would gender be my dependent variable? Religion and satisfaction with life are both independent? Is that correct?The condition of an independent variable being correlated to one or more other independent variables is referred to as nonlinearity. statistical significance. multicollinearity. linearity.Omitting a variable from our model that has a causal effect on our dependent variable always leads to omitted variable bias. a. False b. True
- Dr. Mackintosh believes a new olfactory therapy would be more successful in promoting weight loss among obese patients. His patients are first weighed and then randomly assigned to olfactory therapy, dance therapy, or a control condition. At the end of the three weeks, the amount of weight lost is recorded. The results indicate no significant difference in the amount of weight lost between the three conditions. Identify the independent variable along with each level and the dependent variable.Devise two scenarios where a dependent/matched/paired t-test would be appropriate. Be sure to express how you would measure your dependent variable.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…
- Indicate the dependent and independent variables, the number of levels for each independent variable, and whether each variable is within-subjects or between subjects 1. Individuals with anorexia and individuals with bulimia take a cognitive distortions test upon entering a treatment program for eating disorders and again three weeks later.Ten observations were provided for a dependent variable y and two independent variables x1 and x2; for these data,Read the following excerpt of an article published on psychologytoday.com: “Researchers found that about 40% of college students in their study binge drink (i.e., consuming 5 or more drinks in a short amount of time) and that the vast majority of campus sexual assaults are fueled by alcohol.” Identify the variables of interest and indicate which the independent is and which the dependent variable is. Identify the classification of the independent variable (discrete or continuous) and explain the reason for your choice. Discuss what measure of central tendency is the most appropriate for each variable (independent and dependent variable) making sure to explain why.
- 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 FalseA study of emergency service facilities investigated the relationship between the number of facilities and the average distance traveled to provide the emergency service. The following table gives the data collected. Average Distance Number of Facilities (miles) 1.65 11 1.12 16 0.83 21 0.62 27 0.50 30 0.47 (a) Develop a scatter diagram for these data, treating average distance traveled as the dependent variable. 1.8 - 35- 1.8 1.8 1.6 1.6 1.6- 30 1.4- 1.4 1.4 1.2- 25 1.2 1.2 1. 1. 1. 20 0.8 0.8 0.8 0.6- 15 0.6- 0.6 0.4- 0.4 0.4 10 0.2 0.2 0.2 0. 5 0.- 0. 10 15 20 25 30 35 0. 0.2 0.4 0.6 0.8 1. 1.2 1.4 1.6 1.8 10 15 20 25 30 35 10 15 20 25 30 35 Number Distance Number Number (b) Does a simple linear regression model appear to be appropriate? Explain. O No, the scatter diagram suggests that there is no relationship. No, the scatter diagram suggests that there is a curvilinear relationship. O Yes, the scatter diagram suggests that there is a linear relationship. (c) Develop an estimated…A study of emergency service facilities investigated the relationship between the number of facilities and the average distance traveled to provide the emergency service. The following table gives the data collected. Number of Facilities Average Distance (miles) 9 1.67 11 1.11 16 0.84 21 0.61 27 0.51 30 0.48 (a) Develop a scatter diagram for these data, treating average distance traveled as the dependent variable. CELL 0.2 0.4 0.6 0.8 1.2 1.4 1.6 1.8 Number Number Number Distance @ (b) Does a simple linear regression model appear to be appropriate? Explain. O Yes, the scatter diagram suggests that there is a linear relationship. O No, the scatter diagram suggests that there is no relationship. O No, the scatter diagram suggests that there is a curvilinear relationship. (c) Develop an estimated regression equation for the data of the form ý = b + b₁x + b₂x²: a second-order model with one predictor variable. (Round your numerical values to four decimal places.) ŷ =