Solution :
We have to find out which of the following statements is true for the Residuals !!
Statement of Option (A) :
*****The regression line is the line that minimizes the standard deviation of the residuals.*****
Explanation for Option (A) : We know that the Regression Line is constructed by estimating the values of the Intercept and the Slope , and this is done by minimising the Sum of Squares of the Residuals which is actually the Square of the Standard Deviation of the Residuals. Thus , we can say that , Option (A) is partially correct.
Statement of Option (B) :
*****The residual plot for a model that a good fit to the data should not show any pattern or have any unusual features*****
Explanation for Option (B) : We know that the Residual Plot is a Graphical Representation that plots the Residuals in the Y - axis and the Explanatory (Independent) variable in the X - axis , and , further if the points in the Residual Plot are randomly dispersed or do not show any kind of pattern , then we can say that the Regression Model is good fit to the data. Thus , Option (B) is Correct.
Statement of Option (C) :
*****A residual is the diff. b/w the actual data value and the value predicted by the model*****
Explanation for Option (C) : Again , we know that a Residual is nothing but the difference between the Observed (Actual) data values and the Predicted Values that are estimated by the Regression Model. Thus , we can say that , Option (C) is also Correct.
As mentioned earlier , Option (A) is partially correct but , according to the question given , if two options are correct , then all answers should be correct. That is , the Correct Option should Option (D) All of the Above..........................(Ans)
______________________________________________
Which of the following is a true statement about residuals? Choose the correct answer below.
2. Is the following statement true or false? If you believe that the statement is false, provide a brief explanation. Suppose that a straight line regression model has been fit to bivariate data set of the form (xy). (x, y).....X ). Furthermore, suppose that the distribution of X appears to be normal while the Y variable is highly skewed. A plot of standardized residuals from the 3.4 Exercises 105 least squares regression line produce a quadratic pattern with increasing variance...
The results shown below provide the X-values, residuals, and a residual plot from a regression analysis. Is there any evidence of a pattern in the residuals? Explain. X Residual 1 .79 2 -0.84 3 1.19 4 -0.38 5 2.36 6 -0.73 7 0.19 8 1.62 9 -1.15 10 1.77 Choose the correct answer below. A. Yes, the residuals show decreasing variation. B. No, the residuals appear to be randomly spread. C. Yes, the residuals show a distinct cyclical pattern. D....
& a Question 10 (2 points) In a good regression model the residual plot shows an increasing pattern an arched pattern a cone pattern a random pattern a decreasing pattern Question 11 (1 point) In regression analysis, error equals predicted value minus actual value. True False
Select all of the following statements that are true about linear regression analysis of quantitative variables. If the purpose of our regression model is prediction, it does not matter which variables we define as the explanatory and response variable. The observed values of Y will fall on the estimated regression line, while the predicted values of Y will vary around the regression line. The purpose of linear regression is to investigate if there exists a linear relationship between a response...
Score: 0 or 3 pts 9.2.33 Use the data in the table below to complete parts (a) through (d) 11 of 15 (10 complete) 34 20 40 23 Click the icon to view details on how to construct and interpret residual plots. 43 26 59 28 53 26 21 29 28 23 뮬 (a) Find the equation of the regression line. Steps for Constructing a Residual Plot (Round to three decimal places as needed.) To construct a residual plot, make...
Question 14 Below is a residual plot of a regression model. Residuals Versus the Fitted Values (response is RETURN) 4 1 3 T 1 Standardized Residual 0 -2 -3 10 20 30 Fitted Value The above plot indicates o (a) an incorrect specification of the model. o (b) a clear violation of homoscedasticity. o (c) a high correlation among the residuals. (d) the existence of an outlier o (a) and (b) o (a) and (c) o (b) and (c) o...
Which statement about the OLS regression assumptions is TRUE? A. Standardized residuals are all less than 3 B. No heterogeneity in the residual variance C. All the coefficients are statistically significant D. Independent variable is normally distributed
Suppose Heat Power developed a regression model relating heating average annual pay to the percentage of households using natural gas as heating type. Below is the plot of the corresponding residuals versus the predicted values. Versus File free Rated Value What does the residual plot suggest? The spread of the residuals decreases as the fitted value increases. The plot of residuals shows no unusual pattern. The Equal Variance assumption is satisfied. The spread of the residuals remains unchanged as the...
Below are given (a) A scatterplot of Y versus X and (b) A plot
of residuals versus fitted values after a simple linear regression
model was fit to the data. What is the equation of the fitted line?
Discuss what is indicated about the relationship between Y and X as
it relates to simple linear regression.
Fitted Line Plot Y = - 14.64 + 7.431 X R-Sq R-Sq (adj) 2.43700 91.9% 91.8% 1 > 20- 3 4 5 6 7...
QUESTION 16 Consider the following graph. Which is TRUE? (100%) A perfect regression line will be filled with R-squared All residuals will be remos The coefficient of correlation between X and Yisr. Al only B. ll only i and only D.,, and is Click Sa QUESTION 14 3 poir Which is TRUE? For the same set of data values, the IQR cannot be larger than the range il. The sample variance is resistant to outliers. lil. The third quartile of...