Questions 21 through 25 refer to the following output:
|
∑x = 210 ∑x2 = 2870 ∑xy = -10745 |
||||
|
∑y = -759 ∑y2 = 62523 |
||||
|
Regression Equation: = 5.873684 – 4.173684x |
||||
|
Source |
SS |
df |
MS |
F |
|
Regression |
11548.06053 |
1 |
11584.06053 |
9.42011 |
|
Error |
22134.88947 |
18 |
1229.716 |
|
|
Total |
33718.95 |
19 |
||
21. How many observations were used in the above regression?
1 points
QUESTION 22
What percentage of the observed variability in Y is explained by X?
1 points
QUESTION 23
What is the correlation between X and Y?
1 points
QUESTION 24
Give the value of the t statistic for testing whether the slope between X and Y is zero.
1 points
QUESTION 25
What's the predicted value of Y when X is 9?
21) observations were used in the above regression =19+1 =20
22) percentage of the observed variability in Y is explained by X =r2*100
=( 11548.06053/ 33718.95 )*100 =34.25%
23) orrelation between X and Y = -0.5852
24) value of the t statistic = -sqrt(F)= -3.069
25)
predicted value = 5.873684 – 4.173684*9=-31.6895
Questions 21 through 25 refer to the following output: ∑x = 210 ∑x2 = 2870 ∑xy =...
(10 points) The following regression output is
available. Notice that some of the values are missing.
Predictor Coef SE
Coef T P
Constant 5.932 2.558 2.320 0.068
x 0.511 6.083 0.001
Analysis of Variance
Source DF SS MS F P
Regression 648.72 648.72 57.20 0.001
Residual
Error 56.70
Total 16 705.43
Based on the information given, what is the value of sum of
squares of the X’s (SSxx)?
7626.92
23.142
535.591
None of the above
1. (10 points) Consider the following partially completed computer printout for a regression analysis Based on the information provided, which of the following statements is true at a...
Questions 10 through 13 refer to the following: Using the partially completed analysis of variance and table of means provided below, answer the following questions. Use the .05 significance level. All three groups have the same sample size. Source SS df MS F Treatment 4.3669 Error 9.03 Total 29 Group A B C sample mean 278.3 275.4 274.5 question 10 Find the value of LSD for comparing Groups A and B. 1 points Question 11 Is the difference between groups A...
4. Part of an Excel output relating X (independent variable) and Y (dependent variable) is shown below. Fill in all the blanks marked with "?". Summary Output Regression Statistics Multiple R ? R Square ? Adjusted R Square 0.8125 Standard Error 1.3693064 Observations 7 ANOVA df SS MS F Significance F Regression ? 50.625 ? ? ? Residual ? 9.375 ? Total 6 60 Coefficients Standard Error. t Stat P-value Lower 95% Intercept 13.75 1.398341. 9.833082 0.0001853 10.15555 x -1.125...
course NGAGE MINDTAP z and y. z | 10 220 11 24 12 30 21 18 27 equation for the data of the form bo + b z. Comment on the adequacy of this equation for predicting p. Enter negative value as negative number. x (to 2 decimals) R-sq adj (to 1 decimal) (to 1 decimal) Analysis of Variance SOURCE OF MS F-value (to 2 Residual Error Total |%(to 1 decimal) of the variability in y has been explained byz,...
7,10,11
Based on the following regression output, what is the equation of the regression line? Regression Statistics Multiple R 0.917214 R Square 0.841282 Adjusted R Square 0.821442 Standard Error 9.385572 Observations 10 ANOVA df SS MS Significance F 1 Regression 3735.3060 3735.30600 42.40379 0.000186 8 Residual 704.7117 88.08896 9 Total 4440.0170 Coefficients Standard Error t Stat P-value Lower 95% Intercept 31.623780 10.442970 3.028236 0.016353 7.542233 X Variable 1.131661 0.173786 6.511819 0.000186 0.730910 o a. 9; = 7.542233+0.7309 Xli o b....
18
QueSLIVIT TO Based on the following regression output, what is the equation of the regression line? Regression Statistics Multiple R 0.99313 0.98630 R Square Adjusted R Square Standard Error 0.98238 2.94802 10 Observations ANOVA df SS MS Significance F Regression 4379.182 2189.591 251.943 0.0000 Residual 7 60.836 8.691 9 Total 4440.017 Coefficients Standard Error t Stat P-value Lower 95% 14.169 3.856 3.674 Intercept 0.008 5.050 X Variable 1 0.985 0.114 8.607 0.000 0.714 X Variable 0.995 0.057 17.498 0.000...
In relation to the below output from the Regression Analysis of the S&P/ASX200 Index (X) and from the company ABC Shares derived from weekly data over a 12 month period, can you please explain the key measures and what this all means eg. Number of Observations, R Square, Value of the Slope and the P-Value of the Slope etc. SUMMARY OUTPUT Regression Statistics Multiple R 0.045274332 R Square 0.002049765 Adjusted R Square -0.01790924 Standard Error 0.023996449 Observations 52 ANOVA df...
x:12 21 28 8 20 y:17 15 22 19 24 1. What is the value of b1? 2. What is the value of b0? 3. What is the equation of the y ^ estimator line? 4.if x is increased by 10 units, how much does y ^ change? 5.Assume b0 = 12.953, and b1 = -2.5. For x = 25, predict y 6. How much correlation is there between x and y? Round to four decimals and use leading zeros...
PLEASE ANSWER ALL QUESTIONS ! 1. The following sample observations were randomly selected: X Y 10 4 5 6 6 5 4 7 3 7 What is the coefficient of correlation? Select one: a. 0.90 b. -0.46 c. -0.95 d. 0.82 2. The regression output from Excel indicates that the Significance F is 0.001. Does that mean there is a significant relationship? Select one: a. Yes, because it is small. b. Yes, because it is large. c. No, because it...
please help timed quiz
Find Lease Squares Regression Line (LSRL) equation for the following five- point data set step by step х 2. 6 8 10 у 1 2 3 4 [Select] < x = 22= [Select] < Ey= [Select ] < y2 = [Select) xy [Select ] [ Select) 72 [Select) y n2 y = $y = [Select] < SSxx = 22 - 1 ( x)2 = (Select] SSxy = { xy - 1(Ex) (y) = (Select] < SSyy...