It is estimated that there is a linear relationship between annual mean precipitation depths at stations A and B. Observation values of two years for station A (x) are 200mm and 250mm. And corresponding values for station B (y) are 250mm and 400mm. What is the estimated simple regression equation between these two variables? Lütfen birini seçin: а. у-350 + 3x b. y=350x + 3 c. y=850 - 3x d. y=-350x + 3 e. у-350 + 3x

It is estimated that there is a linear relationship between annual mean precipitation depths at stations A and B. Observation values of two years for station A (x) are 200mm and 250mm. And corresponding values for station B (y) are 250mm and 400mm. What is the estimated simple regression equation between these two variables? Lütfen birini seçin: а. у-350 + 3x b. y=350x + 3 c. y=850 - 3x d. y=-350x + 3 e. у-350 + 3x

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018

18th Edition

ISBN:9780079039897

Author:Carter

Publisher:Carter

Chapter4: Equations Of Linear Functions

Section4.6: Regression And Median-fit Lines

Problem 5PPS

See similar textbooks

Similar questions

If your graphing calculator is capable of computing a least-squares sinusoidal regression model, use it to find a second model for the data. Graph this new equation along with your first model. How do they compare?
Find the equation of the regression line for the following data set. x 1 2 3 y 0 3 4
The grades of a class of 9 students on a midterm report (x) and on the final examination (y) are as follows: Give the following: a. linear regression line and equation b. computation of the coefficient of determination ?^2 c. Computation of the coefficient of correlation ? d. Estimate the final examination grade of a student who received a grade of 85 on the midterm report.
The following table gives the data for the average temperature and the snow accumulation in several small towns for a single month. Determine the equation of the regression line, yˆ=b0+b1xy^=b0+b1x. Round the slope and y-intercept to the nearest thousandth. Then determine if the regression equation is appropriate for making predictions at the 0.01 level of significance. Average Temperatures and Snow Accumulations Average Temperature (℉℉) 45 34 24 45 39 20 31 19 35 44 Snow Accumulation (in.in.) 9 16 24 9 15 28 25 18 16 5 1. Regression equation: y=__________ 2. Is the equation appropriate? yes or no
For a group of children, mean age is 10 years with S.D. 2·5 years. The average height of the group is 125 cms with S.D. of 13 cms. The coefficient of correlation between age and height is 0-6. Write the equation of two regression lines and explain their use.
8. Which is the linear regression equation for a scatterplot with these points rounded to the nearest tenth: (4, 35), (6.5, 92), (2. 10). (5, 50), (6, 85), (10, 110)?
The following table gives the data for the average temperature and the snow accumulation in several small towns for a single month. Determine the equation of the regression line, yˆ=b0+b1xy^=b0+b1x. Round the slope and y-intercept to the nearest thousandth. Then determine if the regression equation is appropriate for making predictions at the 0.010.01 level of significance. Average Temperatures and Snow Accumulations Average Temperature (℉℉) 38 30 17 39 45 22 34 24 29 38 Snow Accumulation (in.in.) 6 19 27 5 13 26 26 14 13 5 Copy Data
Ariel was running analyses over and over in census data and came across a correlation between weight and debt (r=.78). Independent variable is weight and dependent variable is debt. b) Curious Ariel noted some statistics on these weight (M=160lb, SD=15lb) and debt (M=196k, SD=20k). If Ariel wanted to calculate a regression equation, what would her slope and intercept be?
If an estimated regression line has a y-intercept of 10 and a slope of -5, then when x = 0, the estimātēd value of y is: а. О b. -5 о С. 10 d. 5
A study was conducted to see if birth weight affects the increase in weight of a newborn betweendays 70 and 100 of life. The study recorded the birth weight (in ounces) (X) for 12 newborns and thenfollowed up to record the increase in weight between days 70 and 100, and expressed it as the percentageof the birth weight (Y). The regression line between the two variables was found to beIncrease (% of birth weight) = 256.3 −1.74 × birth weight Note: The symbol above is a stretched hat symbol to indicate ˆy. (a) Is the direction of relationship between the two variables positive or negative? What does this meanin context of the problem.(b) Interpret the slope of the regression line in context of the problem.(c) Find the predicted increase in birth weight between days 70 and 100 for a baby that weighed 95ounces at birth.
Consider the points {(1,4), (3,11), (4,10)}, whose slope* of the linear regression model is 2.21. What would be the y-intercept* of the linear model with this same slope, but adjusted to the following data: {(14.41), (18.54), (22.67)}
b. Find the equation of regression line between radiation doses on exposure time .usingleast square method.