d. Use the F statistic to test the significance of the relationship at a .05 level ofsignificance.Compute the F test statistic (to 2 decimals).What is the p-value? Use Table 1 of Appendix B.p-value is SelectWhat is your conclusion?Selecte. Predict the selling price of an apartment building with gross annual rents of$50,000 (to 1 decimal).$thousands. The commercial division of a real estate firm is conducting a regression analysisof the relationship between x, annual gross rents (in thousands of dollars), andy, selling price (in thousands of dollars) for apartment buildings. Data werecollected on several properties recently sold and the following computer outputwas obtained.The regression equation isY = 20.0 + 7.25 XPredictorСoefSE CoefConstant20.0003.22136.217.2501.36285.29Analysis of VarianceSOURCEDFSSRegression141,587.1Residual Error7Total851,984.5a. How many apartment buildings were in the sample?b. Write the estimated regression equation (to 2 decimals if necessary).+c. What is the value of sb1 (to 4 decimals)?

a. The total degrees of freedom is 8. The number of apartment buildings were in the sample is,…

Answered: a. How many apartment buildings were in…

a. How many apartment buildings were in the sample? b. Write the estimated regression equation (to 2 decimals if necessary). + %3D c. What is the value of sp1 (to 4 decimals)?

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: ← Analysis of the relationship between the fuel economy (mpg) and engine size (liters) for 35 models…

A: Given regression line model mpg^=36.88-3.843×Engine size.

Q: A house in a nearby neighborhood has 3 bědrooms and 1250 square feet of living area. Use the…

A: Solution: From the given information, the multiple regression is

Q: The following multiple regression printout can be used to predict the number of items sold given the…

A: Given Information:

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

A: The regression equation is y = -1.017x + 23.99, where x is the hours of TV watched per day and y is…

Q: wo new drugs are being compared for effectiveness in lowering total cholesterol levels. On the…

A: We have given that Sample size n1=15 ,n2=10 Sample mean M1= 75 , M2=78

Q: Using your favorite statistics software package, you generate a scatter plot with a regression…

A: The regression equation is y=-14.44x+50.13 and r=-0.054

Q: regression

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

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

A: The regression eq: y = ax +b Given, a= -1.029 b =25.225

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

A: Let the independent variable X denote hours of TV watched per day Let the dependent variable Y…

Q: Given Y = b0 + b1X. If b1 = -10, for every one-unit increase in X, what is the estimated impact on…

A: Solution-: (a) Given Y = b0 + b1X. If b1 = -10, for every one-unit increase in X, what is the…

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: 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: Use the data in the given table to fill in the missing Round your answers to 3 decimal places.…

A: We are given the dataset. We will plot the points using excel and find the third degree trendline.…

Q: Set up the regression equation and calculate the predicted satisfaction with major for someone with…

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

A: Given info: A regression was run to determine if there is a relationship between hours of TV watched…

Q: Do not round the values further when calculating. Use them as they are in the output. Round yo final…

A: From given output, Response variable: Sales Independent variable: Experience Y-intercept, a =…

Q: Find the equation of the regression line for the following data set. 65 4

Q: 9. A study was conducted to determine the correlation between the number of absences and the final…

A: Solution

Q: Compute the R² for the regression. The R² for the regression is- (Round your response to three…

A: Given : Total sample =330 Total number of regressors=6 Note:since you have asked specifically the…

Q: For the given set of data, find the regression equation and round to the nearest unit for all…

A: To find the regression equation for the given dataset. Sample size (n) = 8

Q: Using the regression formula with a the beta coefficient (or slope) = .53 and intercept = 1.17, what…

A: Here we have given tehn information, a = 1.17 b = 0.53 Then Regression equation is Y = a + bX Y =…

Q: Using the regression formula with a slope = 5000 and intercept = 10,000, what would the predicted…

A: Here we have given information, b = 5000 (slope) a = 10000 (intercept) We have to find the…

Q: DIRECTIONS: Round all answers to the nearest thousandth. Two new drugs are being compared for…

A: We want to find the test statistic

Q: DIRECTIONS: Round all answers to the nearest thousandth. Two new drugs are being compared for…

A: Given : For Sample 1 x̄1 = 75.0 s1 = √SS2/(n2-1) =12.0268 n1 = 15 For…

Q: The slope for an independent variable X predicts where the regression line crosses the Y (dependent)…

A: Given: The slope for an independent variable X predicts where the regression line crosses the Y…

Q: what % of the variation is ( height, or head circumference) explained by the least-squares…

A: From the original solution, we haveThe correlation coefficient(R) = 0.909The least squares…

Q: Here are two sets of bivariate data with the same response variable. The first contains the…

A: The two sets of bivariate data is given by: x y 25.3 43.9 43.8 56.7 49.2 61.3 57.4 69.3…

Q: How many independent variables are involved in a multiple regression equation? a. One b.…

A: How many independent variables are involved in a multiple regression equation? when there is one…

Q: A researcher that there is a linear association between the level of potassium content (y) in…

A: As given, the regression line for the data is computed to y=37+28x. Where, y = the level of…

Q: Use the data below for the PHONES questions that follow. Data compiled from the CIA World Factbook,…

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

100%

d. Use the F statistic to test the significance of the relationship at a .05 level of
significance.
Compute the F test statistic (to 2 decimals).
What is the p-value? Use Table 1 of Appendix B.
p-value is Select
What is your conclusion?
Select
e. Predict the selling price of an apartment building with gross annual rents of
$50,000 (to 1 decimal).
$
thousands.

The commercial division of a real estate firm is conducting a regression analysis
of the relationship between x, annual gross rents (in thousands of dollars), and
y, selling price (in thousands of dollars) for apartment buildings. Data were
collected on several properties recently sold and the following computer output
was obtained.
The regression equation is
Y = 20.0 + 7.25 X
Predictor
Сoef
SE Coef
Constant
20.000
3.2213
6.21
7.250
1.3628
5.29
Analysis of Variance
SOURCE
DF
SS
Regression
1
41,587.1
Residual Error
7
Total
8
51,984.5
a. How many apartment buildings were in the sample?
b. Write the estimated regression equation (to 2 decimals if necessary).
+
c. What is the value of sb1 (to 4 decimals)?

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

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

a. Estimate the regression line and also write the prediction equation. y = 83.4578-5.8795 x y = 5.8795 + 83.4578 x ŷ ŷ= = -5.8795 + 83.4578 x = 83.4578 + 5.8795 x
The arm span and foot length were both measured (in centimeters) for each of 20 students in a biology class. The computer output displays the regression analysis. Which of the following is the best interpretation of the coefficient of determination r2? About 37% of the variation in arm span is accounted for by the linear relationship formed with the foot length. About 65% of the variation in foot length is accounted for by the linear relationship formed with the arm span. About 63% of the variation in arm span is accounted for by the linear relationship formed with the foot length. About 63% of the variation in foot length is accounted for by the linear relationship formed with the arm span.
Using the weights (Ib) and highway fuel consumption amounts (mi/gal) of the 48 cars listed in the accompanying data set, one gets this regression equation: y = 58 9-0.00749x, where x represents weight Complete parts (a) through (d). Click the icon to view the car data. 東 b. What are the specific values of the slope and y-intercept of the regression line? O A. The slope is 58.9 and the y-intercept is 0.007499. B. The slope is -0.00749 and the y-intercept is 58.9. O C. The slope is 58.9 and the y-intercept is -0.00749. O D. The slope is 0.00749 and the y-intercept is 58.9. c. What is the predictor variable? O A. The predictor variable is highway fuel consumption, which is represented by x. B. The predictor variable is weight, which is represented by x. O C. The predictor variable is weight, which is represented by y O D. The predictor variable is highway fuel consumption, which is represented by y. d. Assuming that there is a significant linear correlation between weight and highway fuel…
Hazel has four very short children and wants to predict how tall the kids will be in the future, as they get older she measures their height and finds: Rufus, age 3, 46 cm in height Angus, age 4, 52 cm in height matilda, age 6, 63 cm in height Lao age 8, 85 cm in height Round to the nearest integers, what is the regression equation computed from the data
Using your favorite statistics software package, you generate a scatter plot with a regression equation and correlation coefficient. The regression equation is reported as y = - 13.31a + 55.86 and the r = 0.819. What proportion of the variation in y can be explained by the variation in the values of x? r2 = % Report answer as a percentage accurate to one decimal place. Submit Question M hp % & 7 08 16 5. %23 3m
In multiple regression, when all independent variables are considered but the order in which they are added to the model is determined by the amount it contributes to the dependent variable, it is called: a.Two step b.Stepwise c.Simultaneous d.Backward step
2. Participants were kept awake for a certain number of hours before given a visuospatial task. Researchers measured how many correct responses each participant had. Results are shown below. Use alpha = .01. Number of Correct Hours Kept Awake (X) Responses (Y) 21 X = 10 SS, = 422 Y = 10 SS, = 690 2 4 19 %3D 6. 13 SPxy =-525 ху 5 20 S, =5.70 S, = 7.29 9. 11 10 9. 14 5 15 5 17 2 18 1 17 1 13 4 18 8 11 A. Graph the data. B. State the hypotheses. C. Make a decision about the null. a. Calculate Pearson's r i. Decision about null hypothesis? b. Calculate effect size i. Interpret effect size. D. State your conclusion. E. Relate your conclusion to the research. F. Calculate the regression formula. G. If someone was kept awake for 9 hours, what is the predicted number of correct responses?
A researcher is interested in understanding the relationship between ife stress (Variable X) and quality of life (Varlable Y). Using the whiteboard, plot the data below Into a scatterplot and comment on the type of relationship you see between life stress and quality of life. BE SURE AND SAVE YOUR PICTURE. 3. 3. Aa stroke
A regression was run to determine if there is a relationship between hours of TV watched per day, xx, and number of sit-ups, yy, a person can do in a minute.The results of the regression were: y=ax+b a=-1.399 b=26.311Use this to predict the number of sit-ups a person who watches 12.512.5 hours of TV can do in a minute. Round to the nearest whole number.