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Introduction to Linear Algebra (Classic Version) (5th Edition) (Pearson Modern Classics for Advanced Mathematics Series)
- For the given data (0, 5), (1,9), (4, 3) find the curve y = a + b/T that best fits the data in the least square sense.arrow_forwarda. Is S = {v1, V2, V3} linearly independentarrow_forwardFind the equation of the normal line in the symmetric form at the point (10, 10, 10) to the surface 3x4 + 3y4 + 6z4 = = 12. X - 10 O A. TO01 y + 10 1001 z - 10 %3D %3D - 1001 y - 10 10 x + 10 z +10 -10 OB. %3D -10 X- 10 O C. TO00 y- 10 1000 z - 10 2000 %3D %3D x+ 10 2x y - 10 2y z+10 2z O D %3D y - 10 %3D 24 x+ 10 z+10 -16 O E.-16 %3Darrow_forward
- 17 Since the simple linear regression equation between X and Y variables is Y=4+6X, what is X if Y=45? a) 11.25 B) 7.77 NS) 6.83 D) 4.76 TO) 8.23arrow_forward30 - Find the regression model. X Y 22 13 32 25 28 22 15 5 17 55 a) ŷ= - 0.116 + 26.646x B) None NS) ŷ= 26.646 - 0.116x D) ŷ= 0.116 + 26.646x TO) ŷ= 26.646 + 0.116xarrow_forward2. Write the equation of the normal line to the function: y = 6v2x – 1 at the point (2.5, 12). Express the equation in the form ax + by + c = 0arrow_forward
- The linear regression line, ŷ= ß + â x x, passes through which of the following point? A) (# + 1, j + 1) B) (7 – 1, – 1) c) (T +2, ỹ + 2) D) (7, 9)arrow_forwardFind the regression model X Y 6. 29 - 8 12 15 O A) y=1,77+0,28x O B) y=1,28+1,56x C) y=0,93-2,65x O D) y=1,56+1,28x E) y=1,56-1,28xarrow_forward6 (E 15) What is the value of x when y' =3, if the equation of the regression line is )2 D) 3 y' = 23.1 - 3.8x? 15) A) 5.3 B) -5.3 ) 4.5 D) -5.29arrow_forward
- The table contains data on vehicle speed (h) and fuel consumption (It / 100km) of 5 randomly selected vehicles. Estimate the average fuel consumption of a vehicle traveling at 80 km / h using the simple linear regression equation between vehicle speed and fuel consumption. Speed 55 60 65 70 75 Consumption 11 10 9 8 7 a)7 b)6 c)12 d)8arrow_forwardQ.5. Show that the vectors V1 = ( 1, 1, 2, 4 ), V2 = ( 2, -1, -5, 2 ), V3 = ( 1, -1, -4, 0 ) and V, = ( 2, 1, 1, 6 ) are Linearly independent in R*.arrow_forward15 - x and 45 210 67 330 12 80 9 29 99 500 15 50 38 150 28 120 When regression analysis is performed according to the given x and y values (y = ax + b), which one is the slope A) 5,1307 B) none of them C) 4,9936 D) 5,7847 E) 8,2388arrow_forward
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