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- A health organization collects data on hospitals in a large metropolitan area. The scatterplot shows the relationship between two variables the organization collected: the number of beds each hospital has available and the average number of days a patient stays in the hospital (mean length of stay). Which statement best explains the relationship between the variables shown? Hospitals with more beds cause longer lengths of stay. The size of the hospital does not appear the have an influence on length of stay. More complex medical cases are often taken by larger hospitals, which increases the lengths of stay for larger hospitals. More complex medical cases are often taken by larger hospitals, which decreases the lengths of stay for larger hospitals.Suppose you have access to a database with the variables listed below. Choose two variables you are interested in exploring that may be related (a predictor and outcome). Which variable is your y (outcome) and which is your x (predictor)? *Hint: which one may predict the other? Example: hot weather may predict sunburns.Dixie Showtime table shows how weekly gross revenue is dependent on two variables the television and newspaper advertising expenses, is that correct? Discuss by givingthree new examples.
- In quantitative research, the main difference between surveys and correlational research is ? A. Correlational studies are larger than surveys B. Surveys can be correlational studies, so there are no differences C. With surveys researchers gather their own data; in correlational studies researchers typically use existing datasets D. Surveys are larger than correlational studies# Load any R Packages you may needlibrary(mosaic)library(tidyverse)library(moderndive) The house_prices dataset from the moderndive R package contains data on over 21,000 houses from King County, WA. Because the most important piece of information for anyone on the market for a home is the price of the home, we’ll treat price as our outcome (y) variable. 1 Construct a scatterplot of the house price (y) versus the number of bedrooms per house (x). Describe the relationship between these variables (direction, strength, form, unusual features). # Paste your code here 2 Fit a linear regression model of price (y) as a function of bedrooms (x). Report the regression table, and interpret the estimated coefficient for bedrooms (i.e., the slope of the regression line). # Paste your code here 3 For a multiple regression model of price (y) as a function of both bedrooms (x1) and sqft_living (x2 - see the help page for the definition of this variable). Report the regression table, and interpret…ravelAir.com samples domestic airline flights to explore the relationship between airfare and distance. The service would like to know if there is a correlation between airfare and flight distance. If there is a correlation, what percentage of the variation in airfare is accounted for by distance? How much does each additional mile add to the fare? The data follow. Origin Destination Distance Fare Detroit, MI Myrtle Beach, SC 636 $ 109 Baltimore, MD Sacramento, CA 2,395 252 Las Vegas, NV Philadelphia, PA 2,176 221 Sacramento, CA Seattle, WA 605 151 Atlanta, GA Orlando, FL 403 138 Boston, MA Miami, FL 1,258 209 Chicago, IL Covington, KY 264 254 Columbus, OH Minneapolis, MN 627 259 Fort Lauderdale, FL Los Angeles, CA 2,342 215 Chicago, IL Indianapolis, IN 177 128 Philadelphia, PA San Francisco, CA 2,521 348 Houston, TX…
- A main effect for variable A means that _________. Group of answer choices the effect of variable A is the same over all levels of variable B the effect of variable A is significant when averaged over all levels of variable B the effect of variable A is not the same over all levels of variable B variable A has a greater effect than variable BCite and briefly describe scenarios where dependent and independent variables are employed.In 2011 home prices and mortgage rates dropped so low that in a number of cities the monthly cost of owning a home was less expensive than renting. The following data show the average asking rent for 10 markets and the monthly mortgage on the median priced home (including taxes and insurance) for 10 cities where the average monthly mortgage payment was less than the average asking rent (The Wall Street Journal, November 26–27, 2011).Click on the datafile logo to reference the data. Enter negative values as negative numbers. a. Develop the estimated regression equation that can be used to predict the monthly mortgage given the average asking rent (to 2 decimals).The regression equation is:Mortgage ($) = + Rent ($)
- End behavior of y=-2x4+15x+500Compare similarity and contrast difference qualitative research and quantitative researchWhich statement accurately reflects qualitative and quantitative data? a.Height is qualitative and favorite color is qualitative. b.Height is qualitative and favorite color is quantitative. c.Height is quantitative and favorite color is quantitative. d.Height is quantitative and favorite color is qualitative.