Question: Simple linear regression results: Dependent Variable: % obese Independent Variable: % soda daily % obese = 6.0337952 + 0.29081984 % soda daily Sample size: 38

Simple linear regression results: Dependent Variable: % obese Independent Variable: % soda daily % obese = 6.0337952 + 0.29081984 % soda daily Sample size: 38 R (correlation coefficient) = 0.76518956 R-sq = 0.58551507 Estimate of error standard deviation: 1.6448981 Parameter estimates: Parameter Estimate Std. Err. AlternativeDF T-Stat P-value Intercept 6.0337952 0.96290381 0 366.2662491<0.0001 Slope 0.290819840.040781023 0 367.1312542<0.0001 Analysis of variance table for regression model: SourceDF SS MS F-stat P-value Model 1137.59727137.5972750.854786<0.0001 Error 3697.4048322.7056898 Total 37 235.00211 a. b. c. d. e. f. g. Write 5 descriptive, detailed sentences discussing the results. Discuss the strength and direction of the correlation Are the results expected? What do these results tell you about the relationship of the two variables? If strong correlation, is it due to causation, and underlying cause or coincidence? State the slope of the regression line and a give a sentence to explain what it means. Choose a value of the explanatory variable and use the equation of the regression line to predict the average response variable. h. Show set-ups to calculations. i. Write a descriptive sentence explaining what the prediction tells

Step by Step Solution

There are 3 Steps involved in it

1 Expert Approved Answer

Step: 1 Unlock blur-text-image

Question Has Been Solved by an Expert!

Get step-by-step solutions from verified subject matter experts

Step: 2 Unlock

Step: 3 Unlock

Students Have Also Explored These Related Mathematics Questions!

Simple linear regression results: Dependent Variable: % obese Independent Variable: % less 1 vegetable/day % obese = -2.890451 + 0.4002508 % less 1 vegetable/day Sample size: 32 R (correlation...

Two Statcrunch reports ran: Drive Ratio variable to MPG/Fuel Efficiency Horsepower variable to MPG/Fuel Efficiency Write up your conclusions by discussing the regression formulas you are finding in...

Your project will include the following: A statement of the research question A description of the source of the data A description of the variables used in the analysis and an explanation of why you...

1. (21pts) These data represent the percent of adults with obesity in a random sample of U.S. States in 2020. This data set available in StatCrunch at this link Percent a) (1pt each) Find the...

Create charts to better understand data sets. For cross-sectional data, use a scatter chart. For time series data, use a line chart. Linear y = a + bx Logarithmic y = ln(x) Polynomial (2nd order) y =...

ECO 578 Fall 2015 Page 1 of 14 Name: _______________________ ID: _______________________ Online Final Exam There are 4 parts: Part A: True/ False (1-20) Part B: Select the correct answer for the...

MathScore IQ 33 31 35 38 41 37 37 39 43 40 41 44 40 45 48 45 31 47 43 48 95 100 100 102 103 105 106 106 106 109 110 110 111 112 112 114 114 115 117 118 Abstract_Reas 28 24 29 30 33 32 34 36 38 39 40...

1 of 17 1.0 Points Q-Mart is interested in comparing its male and female customers. Q-Mart would like to know if the amount of money spent by its female charge customers differs, on average, from the...

. A regression analysis between sales (in $1000) and advertising (in $) resulted in the following least squares line: y = 80,000 + 5x. This implies that an increase of _______ in advertising is...

Can you answer these: Part 1 of 16 - Question 1 of 23 1.0 Points The data presented in the table below resulted from an experiment in which seeds of 5 different types were planted and the number of...

The following selected transactions were completed during March between Snyder Company and Brooks Co.: Mar. 1 Snyder Company sold merchandise on account to Brooks Co., $12,750, terms FOB destination,...

Mario Diaz is trying to understand the term cost of capital. Define the term, and indicate its relevance to the decision rule under the annual rate of return technique.

This type of transaction requires extra time and energy, to make sure that buyers are rellable and creditworthy. A company Increases payment time when it sells and ships a product overseas . 1 9 : 5...

2023 1040 form 1.Phillip and Claire are married and file a joint return. Phillip is self-employed as a real estate agent, and Claire is a flight attendant. Phillip and Claire have three dependent...