State the two numerical questions and indicate which variable is x, and which is the dependent variable y.

Purpose Statement:
The aim of the study is to find out if there is an association between body weight and calorie intake.

Research Question:
Is the daily calorie intake associated with an increased risk of obesity (increase in body weight)?

Data must have 30+ samples pieces of data (included in the attachment, survey data with survey questions)

I. Introduction

Write a paragraph to answer the following questions: What was the purpose of your study?

What population did you sample from? Who/What made up your sample? When and where was the sample obtained?

What Method Sampling did you use to select the sample? Give some detail about this.

Do you think you obtained a random sample (did everyone/thing in the population have an equal opportunity to be surveyed)? Explain.

II. Looking at a yes/no question

For the yes/no questions and answer the following questions:

A. State the question

B. Create a pie graph of the yes/no responses.

C. State the sample proportion of “yes” responses, .

III. Looking at a numerical questions (Make Sure that you have TWO Quantitative Variables (calorie intake and body weight)

For the each numerical questions answer the following questions:

A. State the question.

B. Draw a histogram, box-and-whisker plot,

C. Calculate the summary statistics (for each data set) Which measure of Central Tendency best describes the data?

D. Discuss the shape, center, and spread of the distribution of responses to this question.

IV. Scatter Plot

A. State the two numerical questions. Indicate which variable is x, and which is the dependent variable y. Explain why you assigned the variables in this way.
B. Draw the scatter plot
C. Find the Correlation Coefficient. Do you think that is a Strong, Moderate or Weak Correlation.
D. Find the Line of Best Fit. Draw it on The Scatter Plot.
E. Use the Regression Line to make a Prediction.

State the two numerical questions and indicate which variable is x, and which is the dependent variable y.
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