What do you call the measure of how much of the variability in one variable can be explained by variation in the other?
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What do you call the measure of how much of the variability in one variable can be explained by variation in the other?
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- The amount of time adults spend watching television is closely monitored by firms because this helps to determine advertising pricing for commercials. Complete parts (a) through (d). (a) Do you think the variable "weekly time spent watching television" would be normally distributed? If not, what shape would you expect the variable to have? A. The variable "weekly time spent watching television" is likely skewed left, not normally distributed. B. The variable "weekly time spent watching television" is likely normally distributed. C. The variable "weekly time spent watching television" is likely uniform, not normally distributed. D. The variable "weekly time spent watching television" is likely symmetric, but not normally distributed. E. The variable "weekly time spent watching television" is likely skewed right, not normally distributed.The amount of time adults spend watching television is closely monitored by firms because this helps to determine advertising pricing for commercials. Complete parts (a) through (d). (a) Do you think the variable "weekly time spent watching television" would be normally distributed? If not, what shape would you expect the variable to have? A. The variable "weekly time spent watching television" is likely normally distributed. B. The variable "weekly time spent watching television" is likely skewed right, not normally distributed. C. The variable "weekly time spent watching television" is likely symmetric, but not normally distributed. D. The variable "weekly time spent watching television" is likely skewed left, not normally distributed. E. The variable "weekly time spent watching television" is likely uniform, not normally distributed. (b) According to a certain survey, adults spend 2.35 hours per day watching television on a weekday. Assume that the standard deviation for "time spent…Explain what correlation is and why two variables might be described as having a negative correlation. Age and education: A survey of U.S. adults showed that there is a negative correlation between age and education level. Does this mean that people become less educated as they become older? why or why not?
- Regression may not be an appropriate tool if a. there are two variables that are measured on an interval or ratio scale. b. multicollinearity is present c. you want to make predictions for one variable based on information about another variable d. the pattern of data points forms a reasonably straight lineI need help phrasing a quantitative research question. The topic is on Health, it is focused on Widowed Americans as the dependent variable, and their quality of life (Excellent - Poor)as the independent variable. An overlapping variable would be sex (male - female).Shelia's doctor is concerned that she may suffer from gestational diabetes (high blood glucose levels during pregnancy). There is variation both in the actual glucose level and in the blood test that measures the level. In a test to screen for gestational diabetes, a patient is classified as needing further testing for gestational diabetes if the glucose level is above 120 milligrams per deciliter (mg/dL) one hour after a sugary drink. Shelia's measured glucose level one hour after the sugary drink varies according to the Normal distribution with μ = 105 mg/dL and σ = 15 mg/dL. (Round your answers to four decimal places.) (a) If a single glucose measurement is made, what is the probability that Shelia is diagnosed as having gestational diabetes?(b) If measurements are made on three separate days and the mean result is compared with the criterion 120 mg/dL, what is the probability that Shelia is diagnosed as needing further testing for gestational diabetes?
- 1) The coefficient of variation for males is? 2)The coefficient of variation for females is? 3) Compare the variability of grade point averages of males and females. Choose the correct answer below. A)The grade point averages of females and males do not vary. B)The grade point averages of females are more variable than males. C) The grade point averages of males are more variable than females. Your answer is not correct. D) The grade point averages of females and males have the same variation.The linear correlation between violent crime rate and percentage of the population that has a cell phone is −0.918 for years since 1995. Do you believe that increasing the percentage of the population that has a cell phone will decrease the violent crime rate? What might be a lurking variable between percentage of the population with a cell phone and violent crime rate? Question content area bottom Part 1 Will increasing the percentage of the population that has a cell phone decrease the violent crime? Part 2 What might be a lurking variable between percentage of the population with a cell phone and violent crime rate?Statistical technique used to determine the degree to which two variables are related is known as a. Regression b. Correlation c. None of these d. Dispersion
- We calculate the ____ ___ equation when we want to measure the exact percentage of the variability in the outcome that was explained by the independent variable.Shelia’s doctor is concerned that she may suffer from gestational diabetes (high blood glucose levels during pregnancy). There is variation both in the actual glucose level and in the blood test that measures the level. A patient is classified as having gestational diabetes if her glucose level is above 136 milligrams per deciliter (mg/dl) one hour after ingesting a sugary drink. Shelia’s measured glucose level one hour after the sugary drink varies according to the Normal distribution with μ = 125 mg/dl and σ = 11 mg/dl. a)What are the mean and standard deviation of the distribution of sample proportion if measurements are made instead on 40 separate days? b)If measurements are made on 40 separate days and the mean result is compared with the criterion 140 mg/dl, what is the probability that Shelia is diagnosed as having gestational diabetes? c)Let’s consider what could happen if we took 40 separate measurements from Shelia. What is the blood glucose level L such that the probability…Why do we need to study variability? Can you give a 'real life' example?
