Homework Answers
In the first plot of residuals vs fitted values, there are few points which lie way far from the horizantal line which suggest that the variance is not constant. We can sense that there is inward opening funnel pattern which means variance decreases with Increase in fitted values. So yes there is slight violation of assumption of constant variance.
In second plot, there are few observations which do not follow the reference line of Normality. Hence the data may not be normal.
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Residual v. fitted Normal Q-Q Plot 30 30- 20 20- Residual value: y -ỹ (cm) 104...
Question 14 Below is a residual plot of a regression model. Residuals Versus the Fitted Values...
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...
194 6 My boss has just asked if my recent regression analysis on political success meets...
194 6 My boss has just asked if my recent regression analysis on political success meets the assumptions of linear regression. I assessed 50 politicians on their speech writing skills and compared it against their election success. Worryingly, my dog ate my data plot and my computer is out of battery - but I do have these plots of residual analysis to hand. What is my conclusion? 1 OO 0 Studentized Residuals -1 100 -2 OF 40 50 60 70...
Q 3 Are employees who work more hours per week less satisfied with their job? Data...
Q 3
Are employees who work more hours per week less satisfied with
their job? Data was collected from a random sample of 22 employees
at a company on the following variables:
Job satisfaction (measures 0 to 100)
Total hours worked per week
Coefficients
Standard Error
intercept
120.7223
16.8721
X variable 1
-1.2033
0.3188
(a)Construct a 95% confidence interval estimate of the
population mean job satisfaction for employees who works 55 hours
per week. The sample mean total hours worked...
Scatterplot of PracticeTime vs Age 35 30 Practice Time 25 20 15 5.0 7.5 10.0 12.5...
Scatterplot of PracticeTime vs Age 35 30 Practice Time 25 20 15 5.0 7.5 10.0 12.5 15.0 Age Fitted Line Plot Practice Time = 2.236 + 2.053 Age 35 s R-Sa R-Sqladi) 1.04243 96.7% 96.5% 30 Practice Time 25 20 15 5.0 7.5 10.0 12.5 15.0 Age For children taking piano lessons, we are interested in seeing if there is a relationship between the age of a child (in years) and the amount of time (in minutes) they practice the...
what code in R should I use if I want to achieve 10 different outputs with the same n. n= a number that doesnt satisfies the CLT my distributions are pois(0.8) and t(2) the one I used is below but...
what code in R should I use if I want to achieve 10 different
outputs with the same n. n= a number that doesnt satisfies the CLT
my distributions are pois(0.8) and t(2)
the one I used is below but I don’t think it’s right if anyone
can help me please resolve this code so I can do the same thing
with 10 different values of n.
and of that n I need to know the mean, the min, max,...
QUESTIONS Figure 73 Units of capital 20- 144 Expansion path 12 10- Q-300 11 X =220 1X0-100 V = 600 C = 1,200 C = 1,800...
QUESTIONS Figure 73 Units of capital 20- 144 Expansion path 12 10- Q-300 11 X =220 1X0-100 V = 600 C = 1,200 C = 1,800 TTTTTTTTTTTTTTTTT 2 4 6 8 10 12 14 16 18 20 Units of labor Reference: Rat 7-3 on the following graph. (Figure 7.3) The firm's total cost is given by curve Total cost ($) 2,000 1,8007 1,600 1,4007 1,200 II - - - - 1,000+ 800 6007 4007 200 - -- - TTTTTTTTTTTTTTTTIIIIII 0...
Thank you!!! Scartter plot of Birth 15to17 vs Poverty Rate 40 30 20 10 10 15...
Thank you!!!
Scartter plot of Birth 15to17 vs Poverty Rate 40 30 20 10 10 15 20 25 Please use summary statistics below to answer following questions n = 51, { x = 669, { x2 = 9690.44, n = 1136.4, E x2 = 28556.56, 2 xi) = 16163.14 a) (8 pts) Calculate estimated intercept parameter B, and estimated slope parameter B, then write down the fitted least square line. b) (6 pts) What are sample correlation r and coefficient...
whys is the gain showing to be 20? shouldn't it be 10? Q (normal) V(vs) V(yout) 2.0V RE 1.6V .measure tran Voutpp...
whys is the gain showing to be 20? shouldn't it be 10?
Q (normal) V(vs) V(yout) 2.0V RE 1.6V .measure tran Voutpp pp V(vout) 1.2V 10k .measure tran Vspp pp V(vs) 0.8V .measure tran gain param 20 log10(Voutpp/Vspp) V1 0.4V 0.0V 5 Rs VSAA 1k AC -0.4V- Vout OP27 -0.8V- -1. 2V- V2 SINE(0.2 1k) -1.6V- tran 10m -2.0V- 10ms Oms 2ms 4ms 6ms 8ms Draft17.log Draft17.raw Cursor 1 Q Search V(vout) Source Step = 3.0303% Source Step= 33.3333 %...
The county assessor is interested in developing a model to estimate the market value of residential...
The county assessor is interested in developing a model to
estimate the market value of residential property and the assessor
feels that the most important variable that selling price depends
on is the size of the house.
1)As you observe the scatter plot on the next slide is the
relationship between selling price and size positive or negative?
Also explain why you give the answer you give.
2)What is the estimated regression equation for selling price
depending on the size...
What does the five number tell us about the time spent on email (Hint, interpret the...
What does the five number tell us about the time spent on email
(Hint, interpret the five number summary in plain English) and what
does the Boxplot and the normality test show? Explain.
Use the 1.5xIQR rule to identify possible outliers. List the
cutoff points for outliers, Show your workings. Explain what you
found out. (Hint: Are there any excessive time spent on email for
Male(1) or Female(2) or both).
GET DATA /TYPE-XLS /FILE='C: \Users\rmanda 1 \ Desktop\homework! . xls'...
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...
194 6 My boss has just asked if my recent regression analysis on political success meets the assumptions of linear regression. I assessed 50 politicians on their speech writing skills and compared it against their election success. Worryingly, my dog ate my data plot and my computer is out of battery - but I do have these plots of residual analysis to hand. What is my conclusion? 1 OO 0 Studentized Residuals -1 100 -2 OF 40 50 60 70...
Q 3
Are employees who work more hours per week less satisfied with
their job? Data was collected from a random sample of 22 employees
at a company on the following variables:
Job satisfaction (measures 0 to 100)
Total hours worked per week
Coefficients
Standard Error
intercept
120.7223
16.8721
X variable 1
-1.2033
0.3188
(a)Construct a 95% confidence interval estimate of the
population mean job satisfaction for employees who works 55 hours
per week. The sample mean total hours worked...
Scatterplot of PracticeTime vs Age 35 30 Practice Time 25 20 15 5.0 7.5 10.0 12.5 15.0 Age Fitted Line Plot Practice Time = 2.236 + 2.053 Age 35 s R-Sa R-Sqladi) 1.04243 96.7% 96.5% 30 Practice Time 25 20 15 5.0 7.5 10.0 12.5 15.0 Age For children taking piano lessons, we are interested in seeing if there is a relationship between the age of a child (in years) and the amount of time (in minutes) they practice the...
what code in R should I use if I want to achieve 10 different
outputs with the same n. n= a number that doesnt satisfies the CLT
my distributions are pois(0.8) and t(2)
the one I used is below but I don’t think it’s right if anyone
can help me please resolve this code so I can do the same thing
with 10 different values of n.
and of that n I need to know the mean, the min, max,...
QUESTIONS Figure 73 Units of capital 20- 144 Expansion path 12 10- Q-300 11 X =220 1X0-100 V = 600 C = 1,200 C = 1,800 TTTTTTTTTTTTTTTTT 2 4 6 8 10 12 14 16 18 20 Units of labor Reference: Rat 7-3 on the following graph. (Figure 7.3) The firm's total cost is given by curve Total cost ($) 2,000 1,8007 1,600 1,4007 1,200 II - - - - 1,000+ 800 6007 4007 200 - -- - TTTTTTTTTTTTTTTTIIIIII 0...
Thank you!!!
Scartter plot of Birth 15to17 vs Poverty Rate 40 30 20 10 10 15 20 25 Please use summary statistics below to answer following questions n = 51, { x = 669, { x2 = 9690.44, n = 1136.4, E x2 = 28556.56, 2 xi) = 16163.14 a) (8 pts) Calculate estimated intercept parameter B, and estimated slope parameter B, then write down the fitted least square line. b) (6 pts) What are sample correlation r and coefficient...
whys is the gain showing to be 20? shouldn't it be 10?
Q (normal) V(vs) V(yout) 2.0V RE 1.6V .measure tran Voutpp pp V(vout) 1.2V 10k .measure tran Vspp pp V(vs) 0.8V .measure tran gain param 20 log10(Voutpp/Vspp) V1 0.4V 0.0V 5 Rs VSAA 1k AC -0.4V- Vout OP27 -0.8V- -1. 2V- V2 SINE(0.2 1k) -1.6V- tran 10m -2.0V- 10ms Oms 2ms 4ms 6ms 8ms Draft17.log Draft17.raw Cursor 1 Q Search V(vout) Source Step = 3.0303% Source Step= 33.3333 %...
The county assessor is interested in developing a model to
estimate the market value of residential property and the assessor
feels that the most important variable that selling price depends
on is the size of the house.
1)As you observe the scatter plot on the next slide is the
relationship between selling price and size positive or negative?
Also explain why you give the answer you give.
2)What is the estimated regression equation for selling price
depending on the size...
What does the five number tell us about the time spent on email
(Hint, interpret the five number summary in plain English) and what
does the Boxplot and the normality test show? Explain.
Use the 1.5xIQR rule to identify possible outliers. List the
cutoff points for outliers, Show your workings. Explain what you
found out. (Hint: Are there any excessive time spent on email for
Male(1) or Female(2) or both).
GET DATA /TYPE-XLS /FILE='C: \Users\rmanda 1 \ Desktop\homework! . xls'...
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