Question

In two or more complete sentences, formulate how to use technology to calculate the appropriate regression...

In two or more complete sentences, formulate how to use technology to calculate the appropriate regression model for the given data. You are not required to find the model, just choose the appropriate regression and explain how to use the technology.
(-5,11),(-2,1.7),(-1,-0.2), (0,-1.5), (2,-2.3), (3,-1.8), (5,1)

Homework Answers

Answer #1

With the help of technology, we could plot the data points on a scatterplot and use that graph to find out the appropriate regression model to be used (linear, quadratic, exponential, logarithmic etc.). If we plot these points on a scatterplot, we can easily see that the type of regression to be used should be quadratic. After getting the appropriate regression model, we could find the regression equation with the help of technology & interpolate and extrapolate our data to find out the missing values. This works best if we want to predict any value which is not a part of our original dataset.

Know the answer?
Your Answer:

Post as a guest

Your Name:

What's your source?

Earn Coins

Coins can be redeemed for fabulous gifts.

Not the answer you're looking for?
Ask your own homework help question
Similar Questions
Part I Please TYPE out EACH answer Using two or more complete sentences, describe how you...
Part I Please TYPE out EACH answer Using two or more complete sentences, describe how you can find a vector parallel to . A boat is traveling with a velocity measured in meters per second, is described by the vector . In two or more complete sentences explain how to find the speed of the boat and the direction it is traveling in standard position.Include all of your calculations in A boat’s velocity, measured in meters per second, is described...
You may need to use the appropriate technology to answer this question. In a regression analysis...
You may need to use the appropriate technology to answer this question. In a regression analysis involving 30 observations, the following estimated regression equation was obtained. ŷ = 17.6 + 3.8x1 − 2.3x2 + 7.6x3 + 2.7x4 For this estimated regression equation, SST = 1,835 and SSR = 1,790. (a) At α = 0.05, test the significance of the relationship among the variables. State the null and alternative hypotheses. H0: One or more of the parameters is not equal to...
You may need to use the appropriate technology to answer this question. In a regression analysis...
You may need to use the appropriate technology to answer this question. In a regression analysis involving 27 observations, the following estimated regression equation was developed. ŷ = 25.2 + 5.5x1 For this estimated regression equation SST = 1,550 and SSE = 590. (a) At α = 0.05, test whether x1 is significant. State the null and alternative hypotheses. H0: β0 ≠ 0 Ha: β0 = 0 H0: β1 = 0 Ha: β1 ≠ 0    H0: β0 = 0 Ha:...
You may need to use the appropriate technology to answer this question. The following estimated regression...
You may need to use the appropriate technology to answer this question. The following estimated regression equation based on 10 observations was presented. ŷ = 23.1570 + 0.5303x1 + 0.4920x2 Here, SST = 6,736.125, SSR = 6,228.375, sb1 = 0.0815, and sb2 = 0.0567. (a) Compute MSR and MSE. (Round your answers to three decimal places.) MSR= MSE= (b) Compute F and perform the appropriate F test. Use α = 0.05. Find the value of the test statistic. (Round your...
You may need to use the appropriate technology to answer this question. The following estimated regression...
You may need to use the appropriate technology to answer this question. The following estimated regression equation based on 10 observations was presented. ŷ = 25.1670 + 0.5102x1 + 0.4960x2 Here, SST = 6,734.125, SSR = 6,227.375,  sb1 = 0.0813,  and  sb2 = 0.0567. (a)Compute MSR and MSE. (Round your answers to three decimal places.) MSR= MSE= b) Compute F and perform the appropriate F test. Use α = 0.05. Find the value of the test statistic. (Round your answer to two decimal...
Applying Simple Linear Regression to Your favorite Data (Please confirm with the instructor the dataset you...
Applying Simple Linear Regression to Your favorite Data (Please confirm with the instructor the dataset you find before you work on this question) Many dependent variables in business serve as the subjects of regression modeling efforts. We list such variables here: Rate of return of a stock Annual unemployment rate Grade point average of an accounting student Gross domestic product of a country Choose one of these dependent variables, or choose some other dependent variable, for which you want to...
Regression Confidence Interval 1. For the data below test the hypothesis H0: B1 = 0.5 against...
Regression Confidence Interval 1. For the data below test the hypothesis H0: B1 = 0.5 against H1: B0 =/= 0.5 Find the value of T0. Choose the closest value. x y 0 4 1 6 2 -1 3 2 4 5 5 6 6 7 7 12 8 5 9 1 10 8 a. -0.5 b. -0.4 c. -0.3 d. -0.2 e. -0.1 f. 0 g. 0.1 h. 0.2 i. 0.3 j. 0.4 k. 0.5 For the data in problem...
You may need to use the appropriate technology to answer this question. A standardized exam consists...
You may need to use the appropriate technology to answer this question. A standardized exam consists of three parts: math, writing, and critical reading. Sample data showing the math and writing scores for a sample of 12 students who took the exam follow. Student Math Writing 1 540 474 2 432 380 3 528 463 4 574 612 5 448 414 6 502 520 7 480 430 8 499 459 9 610 615 10 572 541 11 390 329 12...
Find at least two examples of the relationship in business (or appropriate to you major) data...
Find at least two examples of the relationship in business (or appropriate to you major) data and explain whether the relations there should be linear or non-linear. At least one of the examples must have more than one input variable. And if the relationship is nonlinear, explain the nature of the relationship (what is underlying reason for the relationship); and what shape of the regression curve may be the best fit. Illustrate your examples with scatter plots (if you use...
Find at least two examples of the relationship in business (or appropriate to you major) data...
Find at least two examples of the relationship in business (or appropriate to you major) data and explain whether the relations there should be linear or non-linear. At least one of the examples must have more than one input variable. And if the relationship is nonlinear, explain the nature of the relationship (what is underlying reason for the relationship); and what shape of the regression curve may be the best fit. Illustrate your examples with scatter plots (if you use...
ADVERTISEMENT
Need Online Homework Help?

Get Answers For Free
Most questions answered within 1 hours.

Ask a Question
ADVERTISEMENT