PLAYER PTS FG% 3P% FT% REB AST TOV STL BLK salary PIE Al Horford 16.2 64.2 55.9
ID: 3241915 • Letter: P
Question
PLAYER PTS FG% 3P% FT% REB AST TOV STL BLK salary PIE Al Horford 16.2 64.2 55.9 85 7.6 5.8 1.7 0.9 1 26540100 17.5 Al-Farouq Aminu 12 45.9 41.2 63.6 6.5 1 2.3 0.8 1 7680965 8.7 Alex Abrines 4.8 34.8 29.4 75 1.8 0.8 0 0 0 5994764 4.2 Allen Crabbe 5.5 37.5 23.1 33.3 3 0.5 0.3 0.3 0 18500000 2.7 Andre Iguodala 7 42.1 13.6 70.6 4.4 3.3 1 0.7 0.2 11131368 8.7 Andre Roberson 11.6 52.2 41.2 14.3 6.2 1.8 1.4 2.4 3.4 2183072 7.9 Austin Rivers 8 34.6 30.8 100 2.7 0.7 1.7 0.3 0.3 11000000 2.7 Avery Bradley 16.3 46.4 39 71.4 4.1 2.6 1.9 1.6 0.2 8269663 8.8 Blake Griffin 20.3 49 66.7 100 6 2.3 2 0.7 0.3 20140839 16 Bobby Portis 6.7 51.5 46.2 0 6 1.2 1 0.5 0.5 1453680 12.4 Bojan Bogdanovic 9.2 41.2 34.9 83.3 4.6 0.8 0.7 0.5 0.1 3730653 11.2 Boris Diaw 5.7 50 42.9 90 1.9 2 1.3 0.6 0.4 7000000 8.8 Bradley Beal 23.8 46.4 26.4 80.4 3.3 2.8 2.1 1.6 0.7 22116750 9.9 CJ McCollum 22.5 40 50 93.8 6 1 3.8 1 0.5 3219579 8.2 CJ Miles 7.3 45.8 31.3 100 2 0.3 0.5 0.5 0.3 4583450 3 Chris Paul 25.3 49.6 36.8 87.9 5 9.9 2.7 1.7 0.1 22868827 21.2 Clint Capela 10.5 56.1 0 61.5 8.7 1.1 0.7 0.7 2.5 1296240 13.5 Cory Joseph 7.9 43.7 40.9 100 2.1 3.1 1.4 0.4 0.2 7315000 8.8 Damian Lillard 27.8 43.3 28.1 96 4.5 3.3 3.3 1.3 0.5 24328425 11.2 Danny Green 7.9 43.5 36.7 53.8 3.3 1.4 1 0.6 1 10000000 6.1 David Lee 4.2 52.4 0 68.8 4.2 0.8 0.5 0.3 0.4 1551659 7.6 DeMarre Carroll 4.2 40.5 31.8 55.6 2.7 0.5 0.5 0.8 0.5 14200000 6.3 Dennis Schroder 24.7 45.5 42.5 83.8 2.3 7.7 1.7 1 0 2708582 15 Derrick Favors 7.5 58.1 0 47.8 5.5 0.9 0.4 0.7 0.5 11050000 10.6 Draymond Green 14.2 50 50 69.2 8.9 7.2 1.9 2 2.3 15330435 15.7 Dwight Howard 8 50 0 63.2 10.7 1.3 1.8 1 0.8 23180275 10.6 Dwyane Wade 15 37.2 35.3 95.2 5 4 1.7 0.8 1.3 23200000 10.9 Eric Gordon 12.9 42.1 38.6 72.2 3.9 2 1.3 0.7 0.5 12385364 7.5 Ersan Ilyasova 4 34.8 20 77.8 5.2 0.3 0.8 0.2 0 8400000 7.3 Evan Turner 10.3 36.4 33.3 75 5.8 3.8 1.8 1.8 0.5 16393443 9.2 George Hill 15.6 46.9 38.7 72.4 4.1 3.6 1.6 0.3 0.1 8000000 9.1 Giannis Antetokounmpo 24.8 53.6 40 54.3 9.5 4 3.3 2.2 1.7 2995421 16.6 Gordon Hayward 24.1 44.1 41.2 93.4 6.1 3.4 2.2 0.9 0.3 16073140 15.1 Greg Monroe 13.2 52.9 0 83.3 7.3 1.7 1.8 1.3 0.5 17145838 17.8 Iman Shumpert 4.4 46.2 40 100 2.9 0.9 0.3 0.4 0.3 9662922 5.1 Isaiah Canaan 11.7 50 35.7 66.7 1.3 1.3 1.7 1 0 1015696 5.9 Isaiah Thomas 25.1 44.2 33 82.5 3.4 6 3.6 0.9 0.2 6587132 12.9 JJ Redick 9.1 38 34.6 85 1.7 0.9 1.9 0.3 0 7377500 2.8 JR Smith 6.4 43.6 44.1 50 1.8 0.8 0.9 0.6 0.5 12800000 3.5 Jae Crowder 13.2 40.9 33.3 85.7 6.1 2.6 0.6 1.2 0.4 6286408 9.9 Jamal Crawford 12.6 42.2 24 100 1.3 1.9 1.3 0.6 0.1 13253012 6.5 James Ennis III 8.3 42.1 31.6 85.7 4.2 1.2 1.2 0.8 0.3 2898000 6.3 Jeff Teague 17 48.9 52.9 83.3 3.3 6.3 2 1 0.8 8800000 12.5 Jimmy Butler 22.7 42.6 26.1 80.9 7.3 4.3 2.5 1.7 0.8 17552209 13 Joe Ingles 6.5 40.3 36.6 66.7 3.7 3.3 1.5 2 0.5 2150000 7.7 Joe Johnson 12.9 43.6 33.3 73.3 3.9 2.5 1.2 0.5 0.1 11000000 8.6 John Wall 27.9 46.1 37.7 84.6 3.4 10.3 4.3 1.8 1.3 16957900 17.1 Jonas Valanciunas 11.2 54.3 0 72.7 6.7 0.2 1.3 0.2 0.6 14382023 12.1 Jusuf Nurkic 2 33.3 0 0 11 4 3 0 1 1921320 20.4 Kawhi Leonard 27.7 52.5 45.5 93.1 7.8 4.6 2.2 1.7 0.5 17638063 21.3 Kelly Olynyk 8.3 53.4 35.5 61.1 3.2 1.8 1.3 0.8 0.9 3094014 10.3 Kelly Oubre Jr. 6.4 42.6 36.7 70 2.5 0.4 0.6 0.9 0.5 2006640 4 Kent Bazemore 9.8 39.6 29.2 71.4 3.8 3.3 2.7 0.7 0.8 15730338 7.6 Kevin Love 13.8 43 40.5 84.4 9.1 1.5 2.4 0.4 0.6 21165675 10.7 Khris Middleton 14.5 39.7 36.8 81.8 4.7 5.3 1.8 2 0 15200000 10.8 Klay Thompson 15 38.8 36 81 2.7 1.9 1.9 1.3 0.4 16663575 5.2 Kyle Korver 7.8 51.2 48.5 100 2.3 0.9 0.4 0.5 0.5 5239437 9.4 Kyle Lowry 15.8 46.2 34.2 81.8 3.1 5.9 2.1 1.5 0.5 12000000 10.4 Kyrie Irving 23.8 39.9 28.1 90 2.6 5.8 2.1 1.5 0.6 17638063 12.1 LaMarcus Aldridge 17.7 47.3 9.1 76.5 8 1.3 1.8 0.7 0.9 20575005 10.3 LeBron James 34.4 55.7 46.8 72.8 9 7.1 4.4 2.1 1.5 30963450 20.8 Luc Mbah a Moute 7.6 39.5 31.3 70 4.9 1 0.4 1.1 0.6 2203000 6.8 Manu Ginobili 5.2 37 18.8 72.7 2.8 2.2 0.8 0.9 0.2 14000000 7.9 Marc Gasol 19.3 47 58.3 93.9 6.5 4.2 2.5 0.3 0.7 21165675 11.9 Marcus Smart 7.6 34.9 36.2 50 5 4.7 1.9 1.6 0.9 3578880 7.3 Markieff Morris 11.6 39.7 34.4 82.8 6.1 1.7 1.5 0.9 1.3 7400000 8.1 Matthew Dellavedova 7.7 39 37.5 80 2 2 1.2 0.2 0 9607500 7.1 Maurice Harkless 7.3 29.4 16.7 87.5 3.3 0.8 0.3 1.3 1.3 8988765 2.3 Mike Conley 24.7 48.5 44.7 83.8 3.3 7 2 1.7 0.5 26540100 19.6 Monta Ellis 5.5 40 25 80 2 1.3 1 0.5 0.3 10763500 5.1 Myles Turner 10.8 43.2 0 62.5 6.8 0.8 1.5 1.8 1.3 2463840 5.8 Nikola Mirotic 8.7 34 28.6 80 5 1.5 0.7 0.7 0.5 5782450 6.2 Noah Vonleh 4.5 44.4 0 40 7.3 2 1.5 0.3 0.8 2751360 5.5 Otto Porter Jr. 11.5 52.5 29.7 85.2 6.7 1.8 0.8 1.6 0.5 5893981 11.1 PJ Tucker 5 36.7 32.1 62.5 5.7 1.1 0.8 0.6 0.3 5300000 6.1 Patrick Patterson 3.4 27.8 30.8 100 2 2 0.6 0.7 0.2 6050000 7.2 Patty Mills 10.7 44.1 37.5 82.4 2.1 2.5 1.2 0.7 0 3578948 7.6 Pau Gasol 6.9 40 35.3 66.7 6.7 2 1 0.5 1.2 15500000 8.8 Paul George 28 38.6 42.9 86.7 8.8 7.3 3.3 1.8 0.5 18314532 14.7 Paul Millsap 24.3 50.5 17.6 81.1 9.3 4.3 3.8 1.7 0.7 20072033 17.2 Rajon Rondo 11.5 42.3 0 50 8.5 10 2 3.5 0.5 14000000 14.4 Robin Lopez 12.7 65.4 0 100 7.2 0.8 1.3 0.5 1 13219250 12.6 Rodney Hood 8.9 35.2 26 61.1 2.7 1.1 0.9 0.5 0 1406520 3 Rudy Gobert 11.6 63.5 0 48 9.9 1.2 1 1 1.3 2121288 14.4 Ryan Anderson 9.4 39.1 28.3 87.5 5.2 0.6 0.8 0.4 0.2 18735364 5.7 Serge Ibaka 14.3 46.2 31.6 84.6 6.5 1.4 1.1 0.4 1.7 12250000 9.9 Shelvin Mack 6 34.7 46.7 86.7 2.8 2 1 0.4 0 2433334 7.1 Stephen Curry 28.6 47.9 41.5 88.9 5.4 5.7 3 1.6 0.4 12112359 17.6 Steven Adams 8 64.3 0 36.4 6.8 1.4 0.8 1.2 1.8 3140517 9.3 Taj Gibson 9.8 60 0 87.5 3.6 0.6 1.6 0.2 0 8950000 8 Taurean Prince 11.2 55.8 28.6 100 5.3 1.3 1.2 0.3 0.2 2318280 9.8 Terry Rozier 6.5 41.8 44 82.4 3.1 1.5 0.3 0.5 0.3 1906440 9.9 Thaddeus Young 12 53.8 25 50 9 2.5 1.5 2 0.3 14153652 10.8 Thon Maker 5.8 38.7 20 81.8 3.2 2 1.3 0.8 1.8 2568600 6.6 Tim Hardaway Jr. 12.8 32.9 26.2 63.2 2.7 1.2 1.7 0.5 0 2281605 2.3 Tony Parker 15.9 52.6 57.9 100 2.5 3.1 1.5 0.5 0 14445313 13.9 Tony Snell 10 50 51.6 0 2.3 1.5 0.3 0.2 0.2 2368327 6.8 Trevor Ariza 10.7 42.3 37.7 92.9 5.1 2.1 0.8 1.3 0.2 7806971 7.8 Tristan Thompson 7.8 53.2 0 57.1 10.6 1 1 0.5 0.9 15330435 9.6 Victor Oladipo 10.8 34.4 24 100 5.6 2 1.2 1.4 0.6 6552961 5.5 Vince Carter 9.2 47.6 40 100 3.3 1.5 1.7 0.3 0 4264057 5.5 Zach Randolph 13.2 42.2 14.3 72.7 8.2 0.7 1.2 0.8 0.3 10361445 10.4 AaBbool AaBbccl AaBbc AaBbccu A 1 Normal No Spac... Heading 1 Heading 2 Paragraph Question/Tasks: can use this formatting to create your table. Table 1-Descriptive Stats-NBA Variables Variable Min Max Mean Median SD Salary PIE player impact) PPG lpoints per game) FG% (field goal 3P% G-point percentage) FT% (free throw centage REB (rebounds) AST (assists STL steals TOV turnovers) Blocks 2) How are salary related to the other the other variables of in terms of correlation? create a table and explain which variables seem to be most linearly related to salary and describe the relationship for those with a strong linear relationship (use a lcorrelationl >0.60 as being strong). Provide a scatterplot of the 2 most linearly related variables that are related to salary. "obtain correlation matrix table here from excel Table 2-Correlations with Salary Variable Put Correlations HereExplanation / Answer
SPSS used for analysis.
Answer:
1).
Descriptive Statistics
N
Minimum
Maximum
Mean
Median
Std. Deviation
salary
102
1015696.000000000
30963450.000000000
10443207.80392157100
9298133
7181855.708057553000
PTS
102
2.0
34.4
12.569
10.8
7.0745
FG%
102
27.8
65.4
44.894
43.65
7.6632
3P%
102
.0
66.7
30.168
33.3
15.8279
FT%
102
.0
100.0
74.819
80.95
21.3953
REB
102
1.3
11.0
4.975
4.65
2.4512
AST
102
.2
10.3
2.633
1.9
2.2454
TOV
102
.0
4.4
1.540
1.4
.9115
STL
102
.0
3.5
.940
0.8
.6259
BLK
102
.0
3.4
.595
0.5
.5867
PIE
102
2.3
21.3
9.757
8.95
4.4979
2).
Correlations
Correlations
salary
PTS
.533**
FG%
.121
3P%
.106
FT%
.276**
REB
.263**
AST
.416**
TOV
.435**
STL
.252*
BLK
.023
3).
Model Summary
Model
R
R Square
Adjusted R Square
Std. Error of the Estimate
1
.593a
.352
.326
5898291.417112059000
a. Predictors: (Constant), AST, FT%, REB, PTS
ANOVAa
Model
Sum of Squares
df
Mean Square
F
Sig.
1
Regression
1834869553352999.500
4
458717388338249.900
13.185
.000b
Residual
3374614639194244.500
97
34789841641177.777
Total
5209484192547244.000
101
a. Dependent Variable: salary
b. Predictors: (Constant), AST, FT%, REB, PTS
Coefficientsa
Model
Unstandardized Coefficients
t
P value
B
Std. Error
1
(Constant)
-3912324.062
2827849.910
-1.383
.170
PTS
309847.121
121757.532
2.545
.013
FT%
77444.725
31227.462
2.480
.015
REB
670222.196
265566.396
2.524
.013
AST
505893.738
351278.200
1.440
.153
a. Dependent Variable: salary
4). Salary and points are positive and significant, we support that who scored more get more salary.
Descriptive Statistics
N
Minimum
Maximum
Mean
Median
Std. Deviation
salary
102
1015696.000000000
30963450.000000000
10443207.80392157100
9298133
7181855.708057553000
PTS
102
2.0
34.4
12.569
10.8
7.0745
FG%
102
27.8
65.4
44.894
43.65
7.6632
3P%
102
.0
66.7
30.168
33.3
15.8279
FT%
102
.0
100.0
74.819
80.95
21.3953
REB
102
1.3
11.0
4.975
4.65
2.4512
AST
102
.2
10.3
2.633
1.9
2.2454
TOV
102
.0
4.4
1.540
1.4
.9115
STL
102
.0
3.5
.940
0.8
.6259
BLK
102
.0
3.4
.595
0.5
.5867
PIE
102
2.3
21.3
9.757
8.95
4.4979
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