![]() ![]() ![]() 754ĭetermine the degrees of freedom is determined as follows:ĭ f = n - 2 = 15 - 2 = 13Since, the P-value is the probability of getting the test statistic's value or a number that is more severe.Īs a result, the P-value is as follows: P < 0. H 0 : β = 0 H 1 : β ≠ 0The value of test statistics is determined as follows: ![]() 0164 n = 15The hypotheses are now specified as follows: The question includes a computer output assuming that the prerequisites for making inferences about the slope of the regression line are met. When a researcher plots the data, notices that it looks to be linear relationship. To increase the weight of the chicken, growth hormones are applied.Īs a result, the experiment was carried out, and the weight gain was recorded. As a result, the slope of the sample regression line differs from the true population regression line by an average of 1. 0164.(iv) The standard error of the slope indicates the mean deviation of the slope of the sample regression line from the slope of the population regression line. 135 ounces on average from the actual weight gain.In the row "Dose" and the column "SE Coef" of the given computer output, the standard error of the slope S E b 1 is presented as:localid="1654258767678" S E b 1 = 1. As a result, the expected weight gain differs by 3. 135The standard error of predictions, or the average difference between actual y-values and expected y-values, is represented by the standard error of the estimate s. (iii) The standard error of the estimate s is presented as: When the growth hormone dose is 0 mg, the weight gain is localid="1654258733317" 4. 5459When x is zero, the y-intercept indicates the average y-value. 8323 ounces per mg of growth hormone on average.(ii) In the row "Constant" and the column "Coef" of the given computer output, the y-intercept of b 0 is presented as,ī 0 = 4. 8323The slope shows how much y has increased or decreased per unit of x. As a result,(i) The slope: The slope b 1 of the supplied computer output is presented in the row "Dose" and the column "Coef," i.e.,ī 1 = 4. As a result, the experiment was carried out, and the weight gain was recorded. To increase the weight of the chicken, growth hormones are applied. ![]()
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