how to import the dataset correctly to spss this data set  provides information on temperature changeacross different countries

MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
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Problem 1P
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how to import the dataset correctly to spss

this data set  provides information on temperature changeacross different countries

File Edit View Data Transform Analyze Graphs Utilities Extensions Window Help
A
15:
12345 12
6
7
HA
11
a V1
Country Name
United Kingdom
France
Austria
Spain
Germany
Switzerland
Denmark
8
9 Italy
10
Cas
V2
2002.000
1.002
1.010
1.539
743
1.478
1.247
1.658
.884
COND
V3
2003.000
1.185
1.752
1.473
1.529
1.248
1.837
.712
1.497
CONS
V4
2004.000
1.026
.924
.839
.927
.988
.961
1.036
.718
GARD
V5
2005.000
1.110
.968
.638
.824
1.015
.796
1.284
.528
=
BELYS
14
V6
2006.000
1.243
1.256
.921
1.459
1.248
1.082
1.352
.808
Moon
V7
2007.000
1.327
1.349
2.150
767
2.080
1.798
2.136
1.519
Q Search application
DOCE
V8
2008.000
.835
933
1.593
.800
1.532
1.190
1.858
1.089
M
www
V9
2009.000
.947
1.148
1.552
1.286
1.270
1.359
1.324
1.182
CETY
V10
2010.000
-.054
.326
.662
.835
.182
.433
-.195
.696
Lood
2011.000
.847
1.462
1.381
1.539
1.108
1.649
.684
1.200
Kood
V12
2012.000
574
1.146
1.791
.958
1.338
1.486
1.145
1.486
var
Transcribed Image Text:File Edit View Data Transform Analyze Graphs Utilities Extensions Window Help A 15: 12345 12 6 7 HA 11 a V1 Country Name United Kingdom France Austria Spain Germany Switzerland Denmark 8 9 Italy 10 Cas V2 2002.000 1.002 1.010 1.539 743 1.478 1.247 1.658 .884 COND V3 2003.000 1.185 1.752 1.473 1.529 1.248 1.837 .712 1.497 CONS V4 2004.000 1.026 .924 .839 .927 .988 .961 1.036 .718 GARD V5 2005.000 1.110 .968 .638 .824 1.015 .796 1.284 .528 = BELYS 14 V6 2006.000 1.243 1.256 .921 1.459 1.248 1.082 1.352 .808 Moon V7 2007.000 1.327 1.349 2.150 767 2.080 1.798 2.136 1.519 Q Search application DOCE V8 2008.000 .835 933 1.593 .800 1.532 1.190 1.858 1.089 M www V9 2009.000 .947 1.148 1.552 1.286 1.270 1.359 1.324 1.182 CETY V10 2010.000 -.054 .326 .662 .835 .182 .433 -.195 .696 Lood 2011.000 .847 1.462 1.381 1.539 1.108 1.649 .684 1.200 Kood V12 2012.000 574 1.146 1.791 .958 1.338 1.486 1.145 1.486 var
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