What does "a " denote in a linear prediction equation?
Group of answer choices
Sample estimate of y-intercept
Population y-intercept
Sample estimate of slope
Population slope
What does "a " denote in a linear prediction equation? Group of answer choices Sample estimate...
In the regression equation, what does a denote? a. Score on the variable x b. Value of the slope of the line c. Variable to be predicted d. Intercept with the y-axis In a regression equation, if the y intercept = 0, then where does the line of best fit intercept the y axis? a. The line of best fit intercepts the origin. b. The line of best fit intercepts the Y-axis above the Y-axis. c. The line of best...
Linear Regression and Prediction perform a linear regression to determine the line-of-best fit. Use weight as your x (independent) variable and braking distance as your y (response) variable. Use four (4) places after the decimal in your answer. Sample size, n: 21 Degrees of freedom: 19 Correlation Results: Correlation coeff, r: 0.3513217 Critical r: ±0.4328579 P-value (two-tailed): 0.11837 Regression Results: Y= b0 + b1x: Y Intercept, b0: 125.308 Slope, b1: 0.0031873 Total Variation: 458.9524 Explained Variation: 56.6471 Unexplained Variation: 402.3053...
Computer output for fitting a simple linear model is given below.State the value of the sample slope for this model and give the null and alternative hypotheses for testing if the slope in the population is different from zero. Identify the p-value and use it (and a 5% significance level) to make a clear conclusion about the effectiveness of the model. The regression equation is Y - 78.8 -0.014. Predictor Coef SE Coef T P Constant 78.79 11.30 6.97 0.000...
Use the given linear equation/model to answer each questions. The linear equation/model y = 5x + 40 explains the linear relationship between number of hours a student spent studying and the exam score this student received. Hours spent studying is the independent variable. Exam score is the dependent variable. (i) Write the linear equation/model in the context of the problem. (10 points) (ii) Determine the y-intercept. Explain the y-intercept in the context of the problem. Use one to two sentences....
A faculty group wants to determine whether job rating (x) is a useful linear predictor of raise left parenthesis y right parenthesis . Consequently, the group considered the straight-line regression model E(y)equalsbeta 0plusbeta 1x. Using the method of least squares, the faculty group obtained the following prediction equation. Interpret the estimated y-intercept of the line. y with caret=14,000-2,000x. A. For an administrator who receives a rating of zero, we estimate his or her raise to be $14,000. B. For a...
Suppose you were presented with the following prediction regression equation: Yhat = 30,000 + 2,000 (X) where the dependent variable is annual salary and the independent variable is years on the job. Interpret the value of the y-intercept (i.e., constant) and the value of the slope. Be as thorough as possible in your answer!
Long-term earthquake prediction hopes to save lives mainly by: Group of answer choices evacuation strict building codes mobilizing fire and rescue units
Give the slope and y-intercept of the line whose equation is given. Then graph the linear function. y= - 2x + 4 Select the correct choice below and, if necessary, fill in the answer box to complete your choice. O A. The slope is (Simplify your answer. Type an integer or a fraction.) OB. The slope is undefined. Select the correct choice below and, if necessary, fill in the answer box to complete your choice. O A. The y-intercept is...
If you were to develop a linear regression equation that uses autonomy at work to predict job satisfaction, what would be the Y-Intercept (a) of the regression equation? Use the slope (b) obtained from the previous question to answer this question. Autonomy Job satisfaction (Y) n 8 8 Mean My=4 My 7 Variability SSX-28 SSY - 156 SP-56 Pearson r.85 -10 1 2 pts Question 43 Correlation' is to 'regression' as significance to non significant 'samples are to populations relationship...
For a simple linear regression model, significance of regression is: Group of answer choices the variability of the observed Y-values from the predicted values. a hypothesis test of whether the regression coefficient ß1 is zero. a measure of how well the regression line fits the data. a measure that determines if the linearity assumption is satisfied