Question
(c) Describe the type of correlation, if any, and interpret the correlation in the context of the data. There is correlation. Interpret the correlation. Choose
(c) Describe the type of correlation, if any, and interpret the correlation in the context of the data. There is correlation. Interpret the correlation. Choose the correct answer below. A. Based on the correlation, there does not appear to be a linear relationship between children's ages and the number of words in their vocabulary B. As age increases, the number of words in children's vocabulary tends to increase, C. Aging causes the number of words in children's vocabulary to decrease. OD. Aging causes the number of words in children's vocabulary to increase. O E. As age increases, the number of words in children's vocabulary tends to decrease. OF. Based on the correlation, there does not appear to be any relationship between children's ages and the number of words in their vocabulary.(d) Use the table of critical values for the Pearson correlation coefficient to make a conclusion about the correlation coefficient. Let a = 0.01. The critical value is Therefore, there sufficient evidence at the 1% level of significance to conclude that between children's ages and the number of words in their vocabulary. (Round to three decimal places as needed.) there is no correlation there is a significant linear correlationQ2) Which value of r indicates a stronger correlation: r= 0.765 orr= -0.925? Explain your reasoning. Choose the correct answer below. O A. r= -0.925 represents a stronger correlation because 0.765 > - 0.925. O B. r= 0.765 represents a stronger correlation because | -0.925| > |0.765|. O C. r= - 0.925 represents a stronger correlation because | - 0.925| > |0:765|. D. r=0.765 represents a stronger correlation because 0.765 > - 0.925.
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