pany Competitor 1383 1153 2022 1067 2429 1296 901 1406 2219 1254 1896 1335 1910 1204 1539 1076 2048 1246 2881 1098 2395 1258
pany Competitor 1383 1153 2022 1067 2429 1296 901 1406 2219 1254 1896 1335 1910 1204 1539 1076 2048 1246 2881 1098 2395 1258
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter4: Equations Of Linear Functions
Section4.6: Regression And Median-fit Lines
Problem 22PFA
Related questions
Question
Company | Competitor |
1383 | 1153 |
2022 | 1067 |
2429 | 1296 |
901 | 1406 |
2219 | 1254 |
1896 | 1335 |
1910 | 1204 |
1539 | 1076 |
2048 | 1246 |
2881 | 1098 |
2395 | 1258 |
1349 | 955 |
2052 | 954 |
2675 | 1363 |
1588 | 1022 |
2704 | 1155 |
3148 | 1807 |
2822 | 1295 |
2217 | 1116 |
2260 | 1323 |
3040 | 1326 |
3137 | 1107 |
2977 | 1163 |
2599 | 1254 |
2412 | 1017 |
3187 | 938 |
2598 | 1270 |
2995 | 1042 |
3046 | 1318 |
3858 | 1497 |
2438 | 750 |
3243 | 1380 |
2764 | 1053 |
2944 | 932 |
3324 | 1097 |
2797 | 1193 |
3914 | 1271 |
2766 | 843 |
2273 | 780 |
3052 | 1095 |
3202 | 1290 |
3672 | 937 |
3957 | 1390 |
3274 | 1056 |
3788 | 1235 |
3502 | 1235 |
2942 | 999 |
3078 | 1066 |
3196 | 641 |
3141 | 1322 |
3579 | 1289 |
3895 |
1060 |
above is the excel data, please solve the excel part with formulas and explanation, thanks
![Weekly sales of a company's product (y) and those of its main competitor (x) were recorded for one
year. Use a = 0.10.
a) Conduct a regression analysis of these data.
b) Plot the residuals versus the time periods. Does there appear to be autocorrelation?
c) Perform the Durbin-Watson test. Is there evidence of autocorrelation? Use a = 0.10
d) If autocorrelation was detected in Part c, propose an alternative regression model to remedy
the problem. Use the computer to generate the statistics associated with this model.
e) Redo Parts b and c. Compare the two models.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fa95626c2-c90a-44bc-a423-ee585171f854%2Fb4505e28-ac5f-4886-9efc-6b2942e0c3d3%2F39cq5h_processed.png&w=3840&q=75)
Transcribed Image Text:Weekly sales of a company's product (y) and those of its main competitor (x) were recorded for one
year. Use a = 0.10.
a) Conduct a regression analysis of these data.
b) Plot the residuals versus the time periods. Does there appear to be autocorrelation?
c) Perform the Durbin-Watson test. Is there evidence of autocorrelation? Use a = 0.10
d) If autocorrelation was detected in Part c, propose an alternative regression model to remedy
the problem. Use the computer to generate the statistics associated with this model.
e) Redo Parts b and c. Compare the two models.
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