Question

PH Campus Login ALEKS - MAT300462VA016-1206 X A ALEKS - Constance Thomas - Les x € → CO www-awn.aleks.com/alekscgi/x/sl.exe/1o_u-IgNskr7;8P3jH-1-6txbonmDn7WSVIRAXK6XHRvH261301mBb7653-F8EfiusWQSbM7FgU7P4MNONpNBUMPSTK. Hyperlink Thread: Week 4 Dis. Constance v O REGRESSION AND CORRELATION Sketching the least squares regression line Bivariate data for the quantitative variables x and y are given in the table below. These data are plotted in the scatter plot shown next to the table, In the scatter plot, sketch an approximation of the least squares regression line for the data, ca 13 + 10+ X ? $ y 1.6 6.7 4.8 7.6 3.3 2.B 2.0 6.6 5.8 8.6 1.8 5.7 4.9 4.9 7.7 16.3 4.6 4.17.7 2786 3.2 9.6 2.9 9.4 5.7 6.4 7.5 3.4 3094 4.9 7.5 604.1 Check Explanation 2020 MG Elisorved form of Use Privacy Abby 1:41 PM 7/31/2020 e

Answer 1

x: 8.4,67,7-6, 7-8,66,8.6,5-7,4-9,613,41,37,32,2-1,57, 7-5, 3. 9, 4.96-9 Y: 16,408,3-3,2-8,5-8,1-8,49,7-7,406,7:7, 86,9:6,9-9, 6.4, 3.9, 9.4,7-8, 4.1 Estimated linear regression equation 1 y Both, a where, Åo = 9 - ß 0 (xi-x)(yir ý ] corla,y) B, ² (xi-2)2 va) A h 2 (xi _*)(y-7) cor(x,y) @ ial Here, n= 18 = -1.43228 Now, M = 5.85556 val) g var (x) = 3.072469 5.761111 cor(x,y) - 1.44258 (from ② (from ) Bo 19.20822 From linear regression eqh willse = 14-20822-1-44 2580 at

IM' 20822 -1•49258z 16 100 0 니