A researcher wants to predict the effect of the number of times a person eats every day and the number of times they exercise on BMI. What statistical test would work best? A. Pearson's R B. Spearman Rho C. Linear regression D. Multiple regression

The data in the table represent the number of licensed drivers in various age groups and the number of fatal accidents within the age group by gender. Complete parts (a) through (c) below. Click the icon to view the data table. ..... (a) Find the least-squares regression line for males treating the number of licensed drivers as the explanatory variable, x, and the number of fatal crashes, y, as the response variable. Repeat this procedure for females. Find the least-squares regression line for males. y =x+O %D/ (Round the x coefficient to three decimal places as needed. Round the constant to the nearest integer as needed.) Find the least-squares regression line for females. y = ý =x+O %3D (Round the x coefficient to three decimal places as needed. Round the constant to the nearest integer as needed.) (b) Interpret the slope of the least-squares regression line for each gender, if appropriate. How might an insurance company use this information? What is the correct interpretation of the…

Please explain this problem. I've tried using StatCrunch (shown in the second image) but I don't understand how to retrieve the answer from all the numbers given via StatCrunch.

Describe the difference between the visually fitted and the calculated regression lines you placed on the scatterplot.  Describe any discrepancy in the scatterplot of the raw data, and how it might explain the difference between your fitted lines.  Does the difference between the visual fit and the regression fit reveal a flaw or a strength in the regression prediction, and why?

What should be used as Statistical Test to analyze data? Choices: Pearson's R, Spearman's rho, ANNOVA, Multipple regression, T-tests

please answer the following question thank you

See the attached image for the introduction.  Question: Fill in a blank ANOVA table.

Hi I know that you can’t answer all questions. Can you just answer question 6 please.

please give me a answer with relatable formate

APPLIED STATISTICS (MULTIPLE REGRESSION) UPVOTE WILL BE GIVEN. PLEASE ANSWER THE PROBLEM BY USING SPSS OR EXCEL ONLY (NOT HANDWRITTEN). NO LONG EXPLANATION NEEDED. TAKE A SCREENSHOTS AND ANSWER THE QUESTION IN SENTENCES. a. Identify the dependent/s and independent variable then estimate the multiple regression equation. b. What is the r-squared value and what is its implication? c. What variable/s are considered significant? What is the p-value?