The least squares regression line. Also, round the slope to 2 decimal places and the y -intercept to 1 decimal place. Number of days ( x ) Weight (lb) ( y ) 0 11.0 5 12.8 12 14.3 18 16.1 24 17.2 31 19.2 40 22.0 45 23.4 52 24.7 60 27.5
The least squares regression line. Also, round the slope to 2 decimal places and the y -intercept to 1 decimal place. Number of days ( x ) Weight (lb) ( y ) 0 11.0 5 12.8 12 14.3 18 16.1 24 17.2 31 19.2 40 22.0 45 23.4 52 24.7 60 27.5
Solution Summary: The author calculates the least squares regression line by rounding the slope to 2 decimal places and the y-intercept.
To calculate: The least squares regression line. Also, round the slope to 2 decimal places and the y-intercept to 1 decimal place.
Number of days (x)Weight (lb) (y)011.0512.81214.31816.12417.23119.24022.04523.45224.76027.5
(b)
To determine
To graph: The data to find the least squares regression line of the weight of the Dodger. The data in the table gives Dodgers weight y (in lb) for x days after adoption.
Number of days (x)Weight (lb) (y)011.0512.81214.31816.12417.23119.24022.04523.45224.76027.5
(c)
To determine
To calculate: The time required for the Dodger to reach 90% of his full-grown weight of 70 lb by using the model in part (a).Round to the nearest day.
(d)
To determine
To calculate: By how much does the result of part (c) of the given problem differ from the result obtained by using the model y=0.275x+11 .
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