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This is a scatter plot showing the amount of sleep needed per day by age. What type of relationship is represented between age and hours of sleep needed?
The direction of this relationship is Choose.... In the context of this example, this means that as we age we tend to need Choose... sleep. The form of the relationship tends to be Choose... and Choose....
This is a scatter plot showing the amount of sleep needed per day by age. What type of relationship is represented between age and hours of sleep needed?The direction of this relationship is Choose... negative &n...
Read MoreIn the below two-way table, convert the counts to percentages within (or restricted to) each category of the explanatory variable separately for About Right.
Female= 73.7%, Male= 67.0%...
Read MoreIn order to convert the counts to percentages within (or restricted to) each category of the explanatory variable separately, look at each category separately, focusing on the total of each category.
Which numbers would be used to convert to a percentage for Female, About Right?
Which numbers would be used to convert to a percentage for Male, Not Enough?
What is the correct percentage conversion of Too Many sodas for the Female response?
560/85573/44021.5%...
Read MoreUsing the boxplot of SSHA scores by gender, summarize the results and interpret them. By examining the side-by-side boxplots and the numerical summaries, we see that in general Choose... perform better on the SSHA than Choose.... The median SSHA score of females is Choose... the median score for males. On the other hand, the Choose... scores display more variability, in terms of the full range of scores. Based on these results, it seems that there is a Choose... effect on Choose... score.
Using the boxplot of SSHA scores by gender, summarize the results and interpret them. By examining the side-by-side boxplots and the numerical summaries, we see that in general Choose... females &nbs...
Read MoreFemalesMalesFemales=153, Males=114...
Read MoreUsing the following variables, determine the role-type classification of each set of variables.
• Gender and Blood Pressure
• Minutes of Music Listened to and Age
• Types of Bears and Locations
• Hours of Sunshine and Sunburn Types
Gender and Blood Pressure | ||||
|---|---|---|---|---|
Minutes of Music Listened To and Age | ||||
Types of Bears and Locations | ||||
Hours of Sunshine and Sunburn Types |
Using the following variables, determine the role-type classification of each set of variables.• Gender and Blood Pressure (C,Q)• Minutes of Music Listened to and Age (Q,Q)• Types of Bears and Locations (C,C)• Hours of Sunshine and Sunburn Types (Q,C)Table of multiple choice questions(C, Q...
Read MoreRemember that a categorical variable is one that can be categorized, or put into types. A quantitative variable is one that can be measured. Of the following variables, which ones are categorical?
Correct! All of these can be placed in categories. Great job!
Gender, Types of Bears, Locations, Sunburn Types...
Read MoreA correlation of r = .87 is found between sunscreen sales and number of drownings over a 1-year period. Here is the scatterplot:
Which of the following statements are true? (select all)
Sunscreen must be the cause of drowning.There is a strong positive linear relationship between sunscreen sales and drowning....
Read MoreA researcher is conducting a study and you are hired to help them analyze their data. Below is the scatterplot:
Suppose that the correlation r between two quantitative variables was found to be r = 0.92. Based on this information, what would you advise?
There is a strong linear relationship between the two variables....
Read MoreA local ice cream shop kept track of the number of cans of cold soda it sold each day, and the temperature that day, for two months during the summer. The data are displayed in the scatterplot below:
The one outlier corresponds to a day on which the refrigerator for the soda was broken. Which of the following is true?
If the outlier were removed, r would get closer to 1....
Read More
Here are boxplots of SSHA scores, by gender. Exploring the relationship between a categorical explanatory variable and a quantitative response variable amounts to comparing the distributions of the quantitative response for each category of the explanatory variable. In particular, we look at how the distribution of the response variable differs between the values of the explanatory variable. With this in mind, answer the following series of questions to summarize the results and interpret them.