116). With 77.4 and y 77.2, youYou run a regression analysis on a bivariate set of data (nobtain the regression equationy -1.848z+56.5330.092. You want to predict what value (on average) for thewith a correlation coefficient of r=response variable will be obtained from a value of 180 as the explanatory variable.What is the predicted response value?%3D(Report answer accurate to one decimal place.)

Given: The data of a bivariate set. The number of observations are n=116. The sample mean of x is…

You run a regression analysis on a bivariate set of data (n = 116). With i =77.4 and j = 77.2, you obtain the regression equation y = - 1.848z+ 56.533 with a correlation coefficient of r = -0.092. You want to predict what value (on average) for the response variable will be obtained from a value of 180 as the explanatory variable. What is the predicted response value? y = (Report answer accurate to one decimal place.)

You run a regression analysis on a bivariate set of data (n = 116). With i =77.4 and j = 77.2, you obtain the regression equation y = - 1.848z+ 56.533 with a correlation coefficient of r = -0.092. You want to predict what value (on average) for the response variable will be obtained from a value of 180 as the explanatory variable. What is the predicted response value? y = (Report answer accurate to one decimal place.)

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

Similar questions

You run a regression analysis on a bivariate set of data (n=32). With ¯x=22.4 and y¯=65.8, you obtain the regression equation y=−3.812x+52.761 with a correlation coefficient of r=−0.137 You want to predict what value (on average) for the response variable will be obtained from a value of 70 as the explanatory variable.What is the predicted response value? y = (Report answer accurate to one decimal place.)
You run a regression analysis on a bivariate set of data (n = 53). You obtain the regression equation y = 1.478x 22.799 with a correlation coefficient of = 0.783 (which is significant at a = 0.01). You want to predict what value (on average) for the explanatory variable will give you a value of 130 on the response variable. What is the predicted explanatory value? X = (Report answer accurate to one decimal place.)
The table below gives the number of weeks of gestation and the birth weight (in pounds) for a sample of five randomly selected babies. Using this data, consider the equation of the regression line, ŷ = bọ + b1x, for predicting the birth weight of a baby based on the number of weeks of gestation. Keep in mind, the correlation coefficient may or may not be statistically significant for the data given. Remember, in practice, it would not be appropriate to use the regression line to make a prediction if the correlation coefficient is not statistically significant. Weeks of Gestation 33 34 36 38 41 Weight (in pounds) 6. 6.1 6.8 7.3 7.9 Table Copy Data Step 5 of 6: Find the error prediction when x = 36. Round your answer to three decimal places.
The table below gives the number of hours seven randomly selected students spent studying and their corresponding midterm exam grades. Using this data, consider the equation of the regression line, yˆ=b0+b1x, for predicting the midterm exam grade that a student will earn based on the number of hours spent studying. Keep in mind, the correlation coefficient may or may not be statistically significant for the data given. Remember, in practice, it would not be appropriate to use the regression line to make a prediction if the correlation coefficient is not statistically significant. Hours Studying 1 1.5 2 2.5 3 3.5 4.5 Midterm Grades 61 62 75 77 79 83 88 Table Step 1 of 6 : Find the estimated slope, y intercept and correlation cofficient. Round your answer to three decimal places.
You run a regression analysis on a bivariate set of data (n=40). With ¯x = 56.7 and ¯y = 45.8, you obtain the regression equation y=−3.352x+45.294 with a correlation coefficient of r= − 0.154. You want to predict what value (on average) for the response variable will be obtained from a value of 70 as the explanatory variable.What is the predicted response value?y^ = (Report answer accurate to one decimal place.)
You run a regression analysis on a bivariate set of data (n=109). With x¯=72.2 and y¯=34.7, you obtain the regression equation y= - 0.898x - 42.514 with a correlation coefficient of r=-0.086. You want to predict what value (on average) for the response variable will be obtained from a value of 140 as the explanatory variable. What is the predicted response value? y =
It is known that the linear regression equation: y= -2.88+1.77x, with a coefficient of determination of 0.81. Based on the two information, the correlation coefficient is
The table below gives the number of weeks of gestation and the birth weight (in pounds) for a sample of five randomly selected babies. Using this data, consider the equation of the regression line, y = bo + b1x, for predicting the birth weight of a baby based on the number of weeks of gestation. Keep in mind, the correlation coefficient may or may not be statistically significant for the data given. Remember, in practice, it would not be appropriate to use the regression line to make a prediction if the correlation coefficient is not statistically significant. Weeks of Gestation 33 34 36 38 41 Weight (in pounds) 6 6.1 6.8 7.3 7.9 Table Copy Data Step 4 of 6: Find the estimated value of y when x = 36. Round your answer to three decimal places.
The least-squares regression equation is y=620.6x+16,624 where y is the median income and x is the percentage of 25 years and older with at least a bachelor's degree in the region. The scatter diagram indicates a linear relation between the two variables with a correlation coefficient of 0.7004. Predict the median income of a region in which 30% of adults 25 years and older have at least a bachelor's degree.
You run a regression analysis on a bivariate set of data (n = 22). With ☎ = 22.3 and y = 58.5, you obtain the regression equation y = 0.842x + 37.664 with a correlation coefficient of r = 0.897. You want to predict what value (on average) for the response variable will be obtained from a value of 180 as the explanatory variable. What is the predicted response value? y = (Report answer accurate to one decimal place.)
You run a regression analysis on a bivariate set of data (n=105). With x=77.7 and y=42.3, you obtain the regression equation y=2.959x−1.146 with a correlation coefficient of r=0.093. You want to predict what value (on average) for the response variable will be obtained from a value of 190 as the explanatory variable.What is the predicted response value?y = (Report answer accurate to one decimal place.)
A hospital claims that the proportion, p , of full-term babies born in their hospital that weigh more than 7 pounds is 48% . In a random sample of 155 babies born in this hospital, 87 weighed over 7 pounds. Is there enough evidence to reject the hospital's claim at the 0.1 level of significance? Perform a two-tailed test. Then fill in the table below. Carry your intermediate computations to at least three decimal places and round your answers as specified in the table. The null hypothesis: H0: The alternative hypothesis: H1: The type of test statistic: (Choose one)ZtChi squareF The value of the test statistic:(Round to at least three decimal places.) The two critical values at the 0.1 level of significance:(Round to at least three decimal places.) and Can we reject the claim that the proportion of full-term babies born in their hospital that weigh more than 7 pounds is 48% ?…