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What are the standardized regression coefficients and why do we need them? Memory performance declines with older age. Some hypothesize that memory performance declines the

  1. What are the standardized regression coefficients and why do we need them?

  1. Memory performance declines with older age. Some hypothesize that memory performance declines the more physical symptoms that you report. A researcher tested 72 subjects on a recall test asking them to recall a list 50 words presented one at a time. The age of each subject was also noted. In addition, each participant completed a physical symptom questionnaire in which they reported how many physical symptoms that they suffer from. The larger the number the more physical symptoms they are reporting.A data set labeled problem 1 has 72 subjects with each subjects recall score(recall), age (age)and number of physical symptoms (numsymp) noted. Conduct an analysis to properly test the effects of age and number of physical symptoms predicting recall. The data for this analysis are found below and will be sent as an attachment in an email.

Agenumsymrecall

10.008.0010.00

12.0010.0016.00

18.006.0012.00

19.0013.0021.00

22.0014.0026.00

25.006.0018.00

27.0013.0026.00

30.0012.0020.00

32.0013.0032.00

34.0012.0026.00

36.0012.0030.00

38.004.0036.00

10.008.0010.00

12.0010.0016.00

18.006.0012.00

19.0013.0021.00

22.0014.0026.00

25.006.0018.00

27.0013.0026.00

30.0012.0020.00

32.0011.0032.00

34.0011.0026.00

36.0012.0030.00

38.0018.0036.00

10.008.0010.00

12.0010.0016.00

18.006.0012.00

19.0013.0021.00

22.0014.0026.00

25.006.0018.00

27.0013.0026.00

30.0012.0020.00

32.0013.0032.00

34.002.0026.00

36.003.0030.00

38.004.0036.00

10.008.0010.00

12.0010.0016.00

18.006.0012.00

19.0013.0021.00

22.0014.0026.00

25.006.0018.00

27.0013.0026.00

30.0012.0020.00

32.0013.0032.00

34.001.0026.00

36.002.0030.00

38.002.0036.00

10.008.0010.00

12.0010.0016.00

18.006.0012.00

19.0013.0021.00

22.0014.0026.00

25.006.0018.00

27.0013.0026.00

30.002.0020.00

32.003.0032.00

34.002.0026.00

36.002.0030.00

38.002.0036.00

10.008.0010.00

12.0010.0016.00

18.006.0012.00

19.0013.0021.00

22.0014.0026.00

25.006.0018.00

27.0013.0026.00

30.001.0020.00

32.001.0032.00

34.001.0026.00

36.001.0030.00

38.002.0036.00

  1. Is there a problem with collinearity in this analysis? Use the three components of collinearity.

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