Question: A regression line using 25 observations has sum of squared residual around the regression line 1 - 56.32. The standard error of estimate was 3.7

 A regression line using 25 observations has sum of squared residual

A regression line using 25 observations has sum of squared residual around the regression line 1 - 56.32. The standard error of estimate was 3.7 1.56 Question 8 (1 point) Suppose we have a 9-it computer that uses IEEE floating-point arithmetic where a floating point number han i sig bit, 3 exponent bits, and 5 fraction bits. The number 3 875 in the 9-bit format is 110011101 O 1001111 0 0 10011110 1 10011000 Question 9 (1 point) In a multiple regression problem involving two independent variables, if the regression equation is = 3 +0.345x1 + 2x2 the value 0.345 in the previous equation can be interpreted as: The estimated value of Yincreases by an average of 0.345 units for each increase of 1 unit of Xi, when the 21 is held constant. True False A regression line using 25 observations has sum of squared residual around the regression line 1 - 56.32. The standard error of estimate was 3.7 1.56 Question 8 (1 point) Suppose we have a 9-it computer that uses IEEE floating-point arithmetic where a floating point number han i sig bit, 3 exponent bits, and 5 fraction bits. The number 3 875 in the 9-bit format is 110011101 O 1001111 0 0 10011110 1 10011000 Question 9 (1 point) In a multiple regression problem involving two independent variables, if the regression equation is = 3 +0.345x1 + 2x2 the value 0.345 in the previous equation can be interpreted as: The estimated value of Yincreases by an average of 0.345 units for each increase of 1 unit of Xi, when the 21 is held constant. True False

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