Weekly sales of a company’s product (y) and those of its main competitor (x) were recorded for one year. Use ?=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 ?=0.10
Weekly sales of a company’s product (y) and those of its main competitor (x) were recorded for one year. Use ?=0.10.
a) Conduct a
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 ?=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.
PLEASE ONLY USE EXCEL AND SHOW ALL EXCEL COMMANDS!
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 |
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I get difference coefficient intercepts compared to yours, is it possible that i have some wrong setting enabled in excel?