Please complete A-B showing all work
Please complete A-B showing all work 1. (30 points total) For the following data, do all...
A set of bivariate data consists of these measurements on two variables, x and y: 2 4 4 6 8 4 7 6 (a) Make a scatterplot. Comment on the form, direction, and strength of the relationship. The relationship appears to be linear, positive, and fairly weak. The relationship appears to be linear, negative, and fairly strong. The relationship appears to be linear, positive, and fairly strong. The relationship appears to be linear, negative, and fairly weak. ● The relationship...
Data on pollution and cost of medical care for elderly people are shown here. The following data give a measure of pollution (micrograms of particulate matter per cubic meter of air) and the cost of medical care per person over age 65 for six geographic regions of the United States Cost of Medical Region North Upper South 31.8 Deep South 32.1 West South Big Sky West Pollution Care 924 900 977 981 961 908 30.0 26.8 30.4 40.0 The equation...
(4 points) Residuals vs fitted plots can be used to assess whether the four key assumptions for a simple linear regression have been met. Each of the plots below displays an instance where at least one of these assumptions may not have been met. For each plot, identify which assumption has been most violated, if any. 1. Plot A shows that A. The relationship between x and y cannot be assumed to be linear. B. The residuals do not appear...
Homework 4 Use the hand span data that we collected in class for homework Suppose you want to buy someone a pair of love, but you do not know their love size. Usually, we do have a pretty good idea of the person's height. Let' asume that the right hand span is a rood indicator of the love size. So let find the best predictor of right hand span be on the person's height. Once we can predict the right...
9. In a small town in Ohio, a real estate broker recorded the size of ten houses, in square feet. and the selling price of each house. She plotted the data in the scatterplot shown below. 400,000 350,000+ 300,000+ Selling Price (5) 250,000+ 200,000 150,000+ 100,000+ 0 500 1000 1500 2000 2500 3000 3500 Size (Square Feet) Select the best description of the relationship between the size and the selling price for these houses. a. There does not appear to...
Consider this set of bivariate data. y| 5.6 4.7 4.6 3.7 3.4 2.6 (a) Draw a scatterplot to describe the data Flash Player version 10 or higher is required for this question. You can get Flash Player free from Adobe's website. (b) Does there appear to be a relationship between x and y? If so, how do you describe it? O Yes, there appears to be a positive relationship between x and y. As x increases, y increases. O Yes,...
setup a predictive equation involving variable 1 and variable 2. First, you plot the data below to determine if linear regression applies. variable1 -0.21582 0.56997 -0.54850 -0.12385 0.06975 0.16327 -0.72595 0.22500 -0.40463 0.67652 -0.82322 0.06747 0.74055 -0.71577 -0.82231 -0.47603 0.58094 -0.58573 0.19003 -0.49528 0.93083 0.61389 -0.91742 -0.60957 variable2 0.89369 -0.72620 -0.09185 0.50086 -0.73607 0.88498 -0.27512 0.62647 0.92432 0.56368 0.73005 -0.74824 0.79412 -0.04509 -0.70951 0.01573 0.51169 0.10376 -0.90089 0.04767 -0.16886 -0.65529 0.25296 -0.24747 Choose your answer from the following: a) The...
Please check if my work is right. If it isn't please fix it or add to it. Or you can just ignore my answers and give your answers. Thank you. 1. Researchers studying a pack of gray wolves in North America collected data on the length x, in meters, from in kilograms, of the wolves. A scatterplot of weight versus length revealed nose to tip of tail, and the w a relationship between the twov aş positive, linear, and strong....
The following information regarding a dependent variable (Y in $1000) and an independent variable (X) is provided. Y Dependent Variable 15 17 23 17 I. The least-squares estimate of the slope equals: II. The least-squares estimate of the intercept equals: III. If the independent variable increases by 2 units, the dependent variable is expected to a. decrease by $300 b. decrease by $3000 c. decrease by $3 d. decrease by $2 e. none of the above The letter corresponding...
The following information regarding a dependent variable (Y in $1000) and an independent variable (X) is provided. Y Dependent Variable 15 17 23 17 I. The least-squares estimate of the slope equals: II. The least-squares estimate of the intercept equals: III. If the independent variable increases by 2 units, the dependent variable is expected to a. decrease by $300 b. decrease by $3000 c. decrease by $3 d. decrease by $2 e. none of the above The letter corresponding...