ba While checking for linearity by examining the residual plot, the residuals must: A) exhibit a...

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ba While checking for linearity by examining the residual plot, the residuals must: A) exhibit a linear trend. B) form a parabolic shape. C) be randomly scattered. D) be below the x-axis Which of the following is true regarding setting up a hypothesis test? a) If you do not reject the null hypothesis, you have proven it to be true. b) The null hypothesis may refer to a sample statistic such as the sample mean c) The alternative hypothesis never includes an equal sign d) The null and alternative hypotheses may or may not be collectively exhaustive are statistical errors that are due to the sample not representing the target population adequately. A) Parallax errors B) Sampling errors C) Nonsampling errors D) Quantization errors * Which of the following is true when testing for normality of errors? A) Normality is verified by inspecting for a bell-shaped distribution. B) It is easier to evaluate normality with small sample sizes. C) A scatter diagram of the whole data is always used to verify normality. D) Errors are normally distributed when the scatter diagram shows a straight-line distribution. ba While checking for linearity by examining the residual plot, the residuals must: A) exhibit a linear trend. B) form a parabolic shape. C) be randomly scattered. D) be below the x-axis Which of the following is true regarding setting up a hypothesis test? a) If you do not reject the null hypothesis, you have proven it to be true. b) The null hypothesis may refer to a sample statistic such as the sample mean c) The alternative hypothesis never includes an equal sign d) The null and alternative hypotheses may or may not be collectively exhaustive are statistical errors that are due to the sample not representing the target population adequately. A) Parallax errors B) Sampling errors C) Nonsampling errors D) Quantization errors * Which of the following is true when testing for normality of errors? A) Normality is verified by inspecting for a bell-shaped distribution. B) It is easier to evaluate normality with small sample sizes. C) A scatter diagram of the whole data is always used to verify normality. D) Errors are normally distributed when the scatter diagram shows a straight-line distribution.

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Question 1 c Randomly scattered Explanation In regression to check linearity we see a residual plot in which residuals are measured on yaxis versus pr... View the full answer