It is rare that you will find a gas station these days that only sells gas....

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It is rare that you will find a gas station these days that onlysells gas. It has become more common to find a convenient storethat also sells gas. The data named “Convenient Shoppingdata” the sales over time at a franchise outlet of themajor US oil company. Each row summarize sales for one day. Thisparticular station sells gas and has a convenient store and carawash. The column labeled Sales gives thedollar sales of the convenient store and the columnVolume gives the number of gallons of gassold.

Sales (Dollars)Volume (Gallons)
17562933
22033329
18483043
20163043
23463450
24103478
20503347
20973708
23113467
24194114
25233721
20613448
22473230
34793557
21353060
21023619
25363256
12271757
19662891
22193381
22262970
19693301
20443178
23603426
19073118
21563037
18163537
18973808
20513145
20793766
23282916
18413957
21043980
19733675
20893516
22664149
23273733
20323738
21374012
21864114
23693795
20873543
22733681
21133618
21814452
27764346
26524073
22504260
25484113
26783829
28784137
22204269
23033989
27184238
23173658
23384005
21433996
24024077
24013610
20513701
24683844
23983904
21063879
24613266
24663513
27454052
19944052
20202874
22413526
26483487
20223499
25243236
19192422
21642876
20742883
23102771
20622362
18072564
19762708
21712519
17452638
21083448
20571993
16792560
20142777
21093097
22742750
26403260
16642050
19132921
23312970
19202624
20743496
22723729
16512302
19962672
20933150
19952948
23373520
24333195
17312232
21832979
17953178
16892618
20403117
20762847
14832150
9301528
16742309
19342805
20112721
21722812
16122173
17802767
21162544
19372805
18662131
20993292
20822221
17882816
20042686
18683207
20382925
25963603
17002165
18153338
19173107
21432906
24203448
24863433
18122104
24633283
22223750
23243494
22193154
25053465
20472216
22313236
20673425
22933667
21523618
13662257
22103606
20293460
27422336
21613113
22233058
21862429
23063501
19333183
24853337
28173566
24913398
18962519
23823716
25523856
20943488
24473457
24403831
20412280
22612411
21143208
28663539
27523719
25024150
17862927
21573044
20253390
23273840
25023697
25524104
20173749
20193511
23023972
24193413
29213882
22733950
21833292
24283979
24894668
20373832
23243930
25913853
23624014
30014759
18012661
17444165
24284139
24093664
28193851
18972522
15361208
24753844
24843766
21173535
24883900
25533900
22513814
24353387
24464009
20631951
25823779
16632368
23023379
22483549
27123807
23074009
25763759
19782378
21164090
22923241
23733874
24444142
25783645
19532419
21513289
29013872
25144136
20783626
24924240
18972415
20723028
25383731
24223851
24153818
29694268
17752514
20823708
21213367
24713685
24673415
26714226
18762061
19763805
21563427
23393670
22583939
27763798
20842668
23463945
23203787
25393854
23933598
26293717
20442536
2018401
23502361
24524005
20412391
20383129
21813874
25164072
21813603
24274173
21113993
21823153
27943812

1) Draw a scatter plot for Sales onVolume where Sales is dependent on Volumeof gas sold. Does there appear to be a linear pattern that relatesto these two sequences?

2) Estimate the linear regression model using excel analysistool I showed you in class. Write the linear model and interpretthe slope (b1).

3) Interpret the R2 and tell if your linear model isa good fit or not.

4) Estimate the difference in sales at the convenient store (onaverage) between a day with 3,500 gallons sold and a day with 4,000gallons sold.

5) With regard to inference statistics, formulate a hypothesistest for the slope (b1) and decide if it is statisticallysignificant or not.

6) Construct a 95% confidence interval for the slope.

Answer & Explanation Solved by verified expert
3.9 Ratings (540 Votes)
1Yesit appears be a linear pattern that relates to these twosequences2SUMMARY OUTPUTRegression StatisticsMultipleR06281RSquare03945AdjustedR    See Answer
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