A study was done to see whether getting radio airtime and spending money on advertisements accurately predicts the number of album copies sold. A random sample of 200 artists’ albums were tracked on...


A study was done to see whether getting radio airtime and spending money on advertisements accurately predicts the number of album copies sold. A random sample of
200 artists’
albums were tracked on the number of times their songs play on the central radio station, how much money (in thousands) they spent on advertisements, as well as the number (in thousands) of album copies were sold. A record company wanted to determine if there was a
positive relationship between album sales and the other two variables (money spent on advertisements and number of albums sold).


Sales, Advertisements, Airtime













































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































33010.25643
120985.68528
3601445.5635
2701188.1933
220574.51344
170568.95419
70471.81420
210537.35222
200514.06821
300174.09340
2901720.8132
70611.47920
150251.19224
19097.97238
240406.81424
100265.39825
2501323.2935
210196.6536
2801326.627
2301380.6933
210792.34533
230957.16728
3201789.6630
210656.13734
230613.69749
250313.36240
60336.5120
3301544.942
15068.95435
150785.6928
180125.62849
80377.92519
180217.99442
130759.8626
3201163.4436
280842.95732
200125.17928
130236.59825
190669.81134
150612.23421
230922.01934
3105063
340200031
2401054.0325
180385.04542
2201507.9737
40102.56825
190204.56826
2901170.9239
340689.54746
250784.2236
190405.91312
120179.7782
230607.25829
1901542.3333
2101112.4728
170856.98510
310836.33138
90236.90819
1401077.8613
300579.32130
340150038
170731.36422
10025.68923
200391.74922
80233.99920
100275.718
7056.89537
50255.11716
240566.50132
160102.56826
290250.56853
14068.59428
210642.78632
300150024
230102.56337
280756.98430
16051.22919
200644.15147
11015.31322
110243.23710
70256.8941
10022.4641
19045.68939
70724.9388
3601126.4638
3601985.1235
3001837.5240
120135.98622
150237.70327
220976.64131
2801452.6919
300160024
140268.5981
290900.88938
180982.06326
140201.35611
210746.02434
2501132.8855
25010005
12075.89634
2901351.2537
60202.70513
140365.98523
290305.26854
160263.26818
100513.6942
160152.60911
15035.98730
140102.56822
230215.36836
230426.78437
30507.7729
80233.2912
1901035.4312
90102.6425
120526.14214
150624.53820
230912.34957
150215.99419
210561.96335
180474.7622
140231.52316
360678.59653
1070.9224
2401567.5529
270263.59843
2901423.5726
220715.67828
230777.23737
220509.4332
240964.1134
260583.62730
170923.37315
130344.39223
2701095.5831
140100.02521
6030.42528
2101080.3418
210799.89928
2401071.7537
210893.35526
200283.16130
140917.01710
90234.56821
120456.89718
100206.97314
3601294.138
180826.85936
150564.15832
110192.6079
9010.65239
16045.68924
23042.56845
4020.45613
60635.19217
2301002.2732
2301177.0523
120507.6380
150215.68935
120526.4826
6026.89519
280883.87726
1209.10453
230103.56829
230169.58328
40429.50417
140223.63926
360145.58542
210985.96817
260500.92236
250226.65245
2001051.1720
15068.09315
2501547.1628
100393.77427
260804.28217
210801.57732
290450.56246
22026.59847
70179.06119
110345.68722
250295.8455
3202271.8631
3001134.5839
180601.43421
18045.29836
200759.51821
320832.86944
14056.89427
100709.39916
12056.89533
230767.13433
150503.17221
250700.92935
190910.85126
240888.56914
250800.61534
230150011
110785.69420


1)



Inferential statistic(s) and p-value(s)



2)



Based on your decision, identify and explain the type of error you could be making with respect to the conclusions of the study




Jun 01, 2022
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