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The table below gives the population by sex and year of the four regions of Mälardalen over the period 2015-2021 (the data is from SCB). Närke men women Södermanland men women Västmanland men women Uppland men women Population by region, sex and year 2015 2016 2017 2018 2019 2020 2021 102 102 103 913 106 092 107 941 109 345 110 020 110 558 103 189 104 463 106 501 108 245 109 435 109 970 110 573 648 022 658 795 669 369 680 420 689 201 692 993 697 688 653 006 661 682 670 687 679 901 688 047 691 637 696 084 153 529 155 770 157 521 158 913 159 919 160 476 161 286 151983 153 587 154 964 156 087 156 993 157 388 158 187 782 653 799 121 816 230 830 513 844 560 851 677 863 723 790 143 803 531 817 405 829 911 841 911 849 121 860 042 A. For each of the groups, do a scatter plot. For which cases does the plots suggest the use of a simple linear regression model? B. Calculate estimates of the slopes and intercepts of the regression lines. C. Calculate estimates of the standard deviations. D. Compute the coefficients of determination. Using this as a measure, which case is best modelled by linear regression?

The table below gives the population by sex and year of the four regions of Mälardalen over the period 2015-2021 (the data is from SCB). Närke men women Södermanland men women Västmanland men women Uppland men women Population by region, sex and year 2015 2016 2017 2018 2019 2020 2021 102 102 103 913 106 092 107 941 109 345 110 020 110 558 103 189 104 463 106 501 108 245 109 435 109 970 110 573 648 022 658 795 669 369 680 420 689 201 692 993 697 688 653 006 661 682 670 687 679 901 688 047 691 637 696 084 153 529 155 770 157 521 158 913 159 919 160 476 161 286 151983 153 587 154 964 156 087 156 993 157 388 158 187 782 653 799 121 816 230 830 513 844 560 851 677 863 723 790 143 803 531 817 405 829 911 841 911 849 121 860 042 A. For each of the groups, do a scatter plot. For which cases does the plots suggest the use of a simple linear regression model? B. Calculate estimates of the slopes and intercepts of the regression lines. C. Calculate estimates of the standard deviations. D. Compute the coefficients of determination. Using this as a measure, which case is best modelled by linear regression?

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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The table below gives the population by sex and year of the four regions of Mälardalen over the period 2015-2021 (the data is from SCB). Närke men women Södermanland men women Västmanland men women Uppland men women Population by region, sex and year 2015 2016 2017 2018 2019 2020 2021 102 102 103 913 106 092 107 941 109 345 110 020 110 558 103 189 104 463 106 501 108 245 109 435 109 970 110 573 648 022 658 795 669 369 680 420 689 201 692 993 697 688 653 006 661 682 670 687 679 901 688 047 691 637 696 084 153 529 155 770 157 521 158 913 159 919 160 476 161 286 151 983 153 587 154 964 156 087 156 993 157 388 158 187 782 653 799 121 816 230 830 513 844 560 851 677 863 723 790 143 803 531 817 405 829 911 841 911 849 121 860 042 A. For each of the groups, do a scatter plot. For which cases does the plots suggest the use of a simple linear regression model? B. Calculate estimates of the slopes and intercepts of the regression lines. C. Calculate estimates of the standard deviations. D. Compute the coefficients of determination. Using this as a measure, which case is best modelled by linear regression?
Transcribed Image Text:The table below gives the population by sex and year of the four regions of Mälardalen over the period 2015-2021 (the data is from SCB). Närke men women Södermanland men women Västmanland men women Uppland men women Population by region, sex and year 2015 2016 2017 2018 2019 2020 2021 102 102 103 913 106 092 107 941 109 345 110 020 110 558 103 189 104 463 106 501 108 245 109 435 109 970 110 573 648 022 658 795 669 369 680 420 689 201 692 993 697 688 653 006 661 682 670 687 679 901 688 047 691 637 696 084 153 529 155 770 157 521 158 913 159 919 160 476 161 286 151 983 153 587 154 964 156 087 156 993 157 388 158 187 782 653 799 121 816 230 830 513 844 560 851 677 863 723 790 143 803 531 817 405 829 911 841 911 849 121 860 042 A. For each of the groups, do a scatter plot. For which cases does the plots suggest the use of a simple linear regression model? B. Calculate estimates of the slopes and intercepts of the regression lines. C. Calculate estimates of the standard deviations. D. Compute the coefficients of determination. Using this as a measure, which case is best modelled by linear regression?
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