A simple regression was run where the dependent variable was the score on an individual's nationally given math test, and the independent variable was the number of math courses the individual had taken in high school. The following estimates were obtained. Y-500 25X In the equation above, the coefficient on the number of math courses tells us which of the following? OA) On average, for every additional test taken, the individual's test score increases by 525 points. OB) On average, for every additional test taken, an individual's test score increases by 25 points. OC) On average, an individual earns a score of 500 on the test. OD) On average, for every additional math course taken in high school, the individual's test score increases by 525 points OE) On average, for every additional math course taken in high school, the individual's test score increases by 25 points.

You work as a data scientist for a real estate company in a seaside resort town. Your boss has asked you to discover if it's possible to predict how much a home's distance from the water affects its selling price. You are going to collect a random sample of 7 recently sold homes in your town. You will note the distance each home is from the water (denoted by x, in km) and each home's selling price (denoted by y, in hundreds of thousands of dollars). You will also note the product x.y of the distance from the water and selling price for each home. (These products are written in the row labeled "xy"). (a) Click on "Take Sample" to see the results for your random sample. Distance from the water, .x (in km) Take Sample Selling price, y (in hundreds of thousands of dollars) xy Send data to calculator Based on the data from your sample, enter the indicated values in the column on the left below. Round decimal values to three decimal places. When you are done, select "Compute". (In the table…

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A pediatrician wants to determine the relation that exists between a child's height (x) and head circumference (y). She randomly selects 11 children from her practice and measures their height and head circumference in inches. She finds that the correlation is 0.477 and the regression equation is y = 0.149x + 8.15 What proportion of the variation in head circumference can be explained by the variation in the values of height? % Report answer as a percentage accurate to one decimal place.

I’m taking a statistics and probability class. Please get this correct because I want to learn. I have gotten wrong answers on here before

The line of best fit through a set of data is y = -23.849 + 0.834x According to this equation, what is the predicted value of the dependent variable when the independent variable has value 10? y = decimal place. Round to 1

Please all the 3 of these sub-questions. Make sure answer is rounded up to 4 decimals

The y for the association between education and health is -0.386. Does y for the relationship between frequency of prayer and health (-.055) represent a stronger or weaker ordinal association then the y of -0.386 for the relationship between education and health? Options: A. stronger relationship than y of -0.386 B. Weaker relationship than y of 0.386 C. cant tell from the information provided

Utilizing the previous table: A sample of 25 cities have been classified as high or low on their homicide rates and the number of handguns sold within the city limits. How would you classify the strength of the relationship?

A regression was run to determine if there is a relationship between hours of TV watched per day (x) and number of situps a person can do (y).The results of the regression were: y=a+bx b=-0.997 a=20.107 r2=0.950625 r=-0.975 Use this to predict the number of situps a person who watches 0.5 hours of TV can do.Round to one decimal place.