A sports statistician was interested in the relationship between game attendance (in thousands) and the number of wins for baseball teams. Information was collected on several teams and was used to obtain the regression equation y = 4.9x + 15.2, where x represents the attendance (in thousands) and ý is the predicted number of wins. What is the predicted number of wins for a team that has an attendance of 2,100? 25.49 wins 31.92 wins 36.82 wins 10,305.2 wins

A sports statistician was interested in the relationship between game attendance (in thousands) and the number of wins for baseball teams. Information was collected on several teams and was used to obtain the regression equation y = 4.9x + 15.2, where x represents the attendance (in thousands) and ý is the predicted number of wins. What is the predicted number of wins for a team that has an attendance of 2,100? 25.49 wins 31.92 wins 36.82 wins 10,305.2 wins

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

See similar textbooks

Related questions

Q: . A wildlife researcher is interested in predicting an alligator’s weight (in pounds) based on its…

Q: How is the number of drugs administered associated with readmissions for these patients? Regression…

A: Enter the data in Excel.

Q: pediatrician wants to determine the relation that exists between a child's height (x) and head…

Q: The given paired data lists the heights (in inches) of various males who were measured on their…

A: Given that ; X Y X \cdot YX⋅Y X^2X2 Y^2Y2 52 69 3588 2704 4761 50 66 3300 2500 4356…

Q: A pediatrician wants to determine the relation that exists between a child's height (x) and head…

A: Given r=0.315 y=0.396x+9.36

Q: A regression was run to determine if there is a relationship between hours of TV watched per day (x)…

A: From the given information, y=a+bxb=-0.79a=23.38 Therefore, Y=23.38-0.79X

Q: A medical researcher wishes to see whether there is a relationship between a person’s age,…

A: Given that A medical researcher wishes to see whether there is a relationship between a person’s…

Q: Estimate a regression equation (electricity sales) using only number of customers as a predictor…

A: First enter the data in Excel.

Q: regression

A: The estimated linear regression model with the independent variable is obtained…

Q: To monitor and improve its productivity, a company made an investigation and found out that the…

A: Note: Since we only answer up to 3 sub-parts, we'll answer the first 3. Please resubmit the…

Q: A real estate analyst has developed a multiple regression line, y = 60 + 0.068 x1 – 2.5 x2, to…

A: from the above question we are given that the equation of the regression line is y = 60 + 0.068…

Q: A pediatrician wants to determine the relation that exists between a child's height (x) and head…

A: Given that Correlation coefficient=0.6 Regression equation y=0.221x+8.15 We have to find the…

Q: wo undergraduate students thought that college textbook prices might be related to the number of…

A: The regression equation is y= 0.147x - 3.42

Q: The money raised and spent (both in millions of dollars) by all congressional campaigns for 8 recent…

A: The question is about regression.Given :Regression equation :To find :se and it's interpretation.

Q: The table shows the number of goals allowed and the total points earned (2 points for a win, and 1…

A: (a) The regression analysis is conducted using EXCEL. The software procedure is given below: Enter…

Q: RaceJA started manufacturing race cars four years ago. The company wants to know the relationship…

Q: A pediatrician wants to determine the relation that exists between a child's height (x) and head…

A: Given that Correlation coefficient=0.807 Regression equation y=0.217x+7.18 We have to find the…

Q: In a fisheries researcher's experiment, the correlation between the number of eggs in the nest and…

A: The regression equation is y=0.72x+17.07.

Q: A FIFA World Cup football is dropped from 35 different heights (in cm) and the height of the bounce…

A: Given that The Football is dropped from 35 different heights and height of the bounce is recorded.…

Q: Are the heights of the individuals affected by the heights of their parents ? 1. write the…

A: General form: y^=β0+β1x1+β2x2

Q: A pediatrician wants to determine the relation that exists between a child's height (x) and head…

A: The data is defined below as follows: From the information, it is clear that Let X denotes the…

Q: Find the coefficient of determination and interpret the result.

A: Here dependent variable (y) = Money spent Independent variable (x) = Money raised Sample size (n) =…

Q: A regression analysis was performed to determine if there is a relationship between hours of TV…

A: Given that the regression equation is, y=ax+b b=31.768 a=-1.128 Therefore, y=-1.128x+31.768

Q: The superintendent of a school district wanted to predict the percentage of students passing a…

Q: For the 2011 season, suppose the average number of passing yards per attempt for a certain NFL team…

A: According to the provided information, the regression equation to predict the percentage of games…

Q: You are studying how a penguin's flipper length (in mm) explains its body mass (in grams) using…

A: 76.21% of the variability in body mass is explained by the flipper length, This means that when…

Q: Lillian conducted a small survey of her friends and family. She asked them how many hours per week…

A: With respect to given scatter plot of variables the number of hours per week they spend reading…

Q: Interpret the regression coefficient of X3 in relation to the Y ( X3 unit is mile) Y = 58.286 +…

A: The regression coefficient of X3 is given by 13.7604

Q: s the average weekly wages (in dollars) for state government employees and federal government…

A: A prediction interval is a range of values that, given certain settings for the predictors, is…

Q: The table shows the number of goals allowed and the total points earned (2 points for a win, and 1…

Q: Use the time/tip data from the table below, which includes data from New York City taxi rides. (The…

A: Step 1:Step 2: Step 3: Step 4:

Q: Why was the variable “# of customer service representatives” dropped from the model? Write the…

Q: The table below shows the average weekly wages (in dollars) for state government employees and…

Concept explainers

Correlation

Correlation defines a relationship between two independent variables. It tells the degree to which variables move in relation to each other. When two sets of data are related to each other, there is a correlation between them.

Linear Correlation

A correlation is used to determine the relationships between numerical and categorical variables. In other words, it is an indicator of how things are connected to one another. The correlation analysis is the study of how variables are related.

Regression Analysis

Regression analysis is a statistical method in which it estimates the relationship between a dependent variable and one or more independent variable. In simple terms dependent variable is called as outcome variable and independent variable is called as predictors. Regression analysis is one of the methods to find the trends in data. The independent variable used in Regression analysis is named Predictor variable. It offers data of an associated dependent variable regarding a particular outcome.

Question

A sports statistician was interested in the relationship between game attendance (in thousands) and the number of
wins for baseball teams. Information was collected on several teams and was used to obtain the regression
equation y = 4.9x + 15.2, where x represents the attendance (in thousands) and ŷ is the predicted number of wins.
What is the predicted number of wins for a team that has an attendance of 2,100?
25.49 wins
31.92 wins
36.82 wins
10,305.2 wins

Expert Solution

This question has been solved!

Explore an expertly crafted, step-by-step solution for a thorough understanding of key concepts.

This is a popular solution!

SEE SOLUTION Check out a sample Q&A here

Step 1

VIEW

Step 2

VIEW

Trending now

This is a popular solution!

Step by step

Solved in 2 steps with 2 images

SEE SOLUTION Check out a sample Q&A here

Knowledge Booster

$Correlation, Regression, and Association$

Learn more about

Need a deep-dive on the concept behind this application? Look no further. Learn more about this topic, statistics and related others by exploring similar questions and additional content below.

Similar questions

you take a bar of soap and weigh it after each shower. will the regression line be positive or negative
A sports-equipment researcher was interested in the relationship between the speed of a golf club (in feet per second) and the distance a golf ball travels (in yards). Information was collected on several golfers and was used to obtain the regression equation ŷ = 2x - 106, where x represents the club speed and ŷ is the predicted distance. Which statement best describes the meaning of the slope of the regression line? For each increase in distance by 1 yard, the predicted club speed increases by 2 ft/sec. For each increase in distance by 1 yard, the predicted club speed decreases by 106 ft/sec. For each increase in club speed by 1 ft/sec, the predicted distance increases by 2 yards. For each increase in club speed by 1 ft/sec, the predicted distance decreases by 106 yards.
A biologist wants to predict the height of male giraffes, y, in feet, given their age, x1, in years, weight, x2, in pounds, and neck length, x3, in feet. She obtains the multiple regression equation yˆ=7.36+0.00895x1+0.000426x2+0.913x3. Predict the height of a 12-year-old giraffe that weighs 3,100 pounds and has a 7-foot-long neck, rounding to the nearest foot.
There is a linear relationship between the number of chirps made by the stiped ground cricket and the air temperature. It was determined that the linear regression model is: y = 25.2 + 3.3x where x is the number of chirps per minute and y is the estimated temperature in degrees Fahrenheit. What is the predicted number of chirps made when the temperature is 60 degrees Fahrenheit? Round to the nearest integer. Do not include units.
A car lot wants to predict the # of car accessories they need to sell monthly based on the number of cars sold. The car lot owner randomly selects 12 months of data. The simple linear regression equation is ý = 14 - 2x. The coefficient of determination is 0.6364. What is the correlation coefficient to describe the relationship between these two variables? Multiple Choice
You may need to use the appropriate technology to answer this question. A regression analysis involving 45 observations relating a dependent variable and two independent variables resulted in the following information. ý = 0.406 + 1.3385X, + 2X2 The SSE for the above model is 43. When two other independent variables were added to the model, the following information was provided. ý = 1.9 – 3X + 12X2 + 4Xg + 8x, This model's SSE is 36. At a 0.05 level of significance, test to determine if the two added independent variables contribute significantly to the model. State the relevant null and alternative hypotheses. O Ho: One or more of the parameters is not equal to zero. H₂: B₁ = B₂= B3 =B4 = 0 O Ho: One or more of the parameters is not equal to zero. H₂: B3 =B4 = 0 O Ho: B3 = P4 = 0 H₂: None of the parameters are equal to zero. ⒸH₁: B3 =B₁ = 0 H: One or more of the parameters is not equal to zero. O Ho: B₁ = P₂ = B3 =B4 = 0 H: One or more of the parameters is not equal to zero. ✔ Find…
A researcher is using the regression model Y=61+4.5X to predict a persons score on a happiness questionnaire based on their number of friends Predict the happiness score for someone with 8 friends
A popular board game manufacturer was interested in the relationship between the amount of time it takes to play a game and how well that game is rated among board game players. Information was collected on several board games and was used to obtain the regression equation ŷ = 27.273x + 18.182 where x represents the time it takes to play (in hours) and ŷ is the predicted rating of that game (in points). What is the predicted rating of a game that takes 1 hour to play? –0.63 points 9.091 points 45.455 points 1,654.562 points
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 0.694, and the regression equation is y = 0.294x + 2.02. What proportion of the variation in head circumference can be explained by the variation in the values of height? Round your answer to three decimal places. %
For 39 nations, a correlation of 0.887 was found between y = Internet use (%) and x = gross domestic product (GDP, in thousands of dollars per capita). The regression equation is y = -3.68 + 1.73x. Complete parts (a) through (c). a. Based on the correlation value, the slope had to be positive. Why? A. The slope and correlation are positive because gross domestic product could not be negative. B. The correlation and the slope are positive because the y-intercept is negative. C. That is a very unusual fact, because the slope and correlation usually have different signs. D. Although slope and correlation usually have different values, they always have the same sign.