The article "Drift in Posturography Systems Equipped with a Piezoelectric Force Platform: Analysis and Numerical Compensation" (L. Quagliarella, N. Sasanelli, and Vv. Monaco, IEEE Transactions on Instrumentation and Measurement, 2008:997-1004) reported the results of an experiment to determine the effect of load on the drift in signals derived from a piezoelectric force plate. The corelation coefficient y between outpuit and time was computed for various loads x in kN, as shown in the following table. У 0.196 -0.9710 0.245 -0.9735 0.294 -0.9694 0.343 -0.9684 0.392 -0.9624 0.441 -0.9688 0.490 -0.9519 0.539 -0.9573 0.588 -0.9515 Compute the least-squares line for predicting y from x. Plot the residuals versus the fitted values. Does the least-squares line seem appropriate? Compute the least-squares line for predicting y from x. d. Plot the residuals versus the fitted values. Does the least-squares line seem appropriate? C. For each model, find a 95% confidence interval for the mean value of y when x= 0.32. Are the confidence intervals similar? e.
The article "Drift in Posturography Systems Equipped with a Piezoelectric Force Platform: Analysis and Numerical Compensation" (L. Quagliarella, N. Sasanelli, and Vv. Monaco, IEEE Transactions on Instrumentation and Measurement, 2008:997-1004) reported the results of an experiment to determine the effect of load on the drift in signals derived from a piezoelectric force plate. The corelation coefficient y between outpuit and time was computed for various loads x in kN, as shown in the following table. У 0.196 -0.9710 0.245 -0.9735 0.294 -0.9694 0.343 -0.9684 0.392 -0.9624 0.441 -0.9688 0.490 -0.9519 0.539 -0.9573 0.588 -0.9515 Compute the least-squares line for predicting y from x. Plot the residuals versus the fitted values. Does the least-squares line seem appropriate? Compute the least-squares line for predicting y from x. d. Plot the residuals versus the fitted values. Does the least-squares line seem appropriate? C. For each model, find a 95% confidence interval for the mean value of y when x= 0.32. Are the confidence intervals similar? e.
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Related questions
Question

Transcribed Image Text:The article "Drift in Posturography Systems Equipped with a Piezoelectric Force Platform:
Analysis and Numerical Compensation" (L. Quagliarella, N. Sasanelli, and Vv. Monaco,
IEEE Transactions on Instrumentation and Measurement, 2008:997-1004) reported the
results of an experiment to determine the effect of load on the drift in signals derived from a
piezoelectric force plate. The corelation coefficient y between outpuit and time was
computed for various loads x in kN, as shown in the following table.
У
0.196
-0.9710
0.245
-0.9735
0.294
-0.9694
0.343
-0.9684
0.392
-0.9624
0.441
-0.9688
0.490
-0.9519
0.539
-0.9573
0.588
-0.9515
Compute the least-squares line for predicting y from x.
Plot the residuals versus the fitted values. Does the least-squares line seem
appropriate?
Compute the least-squares line for predicting y from x.
d. Plot the residuals versus the fitted values. Does the least-squares line seem
appropriate?
C.
For each model, find a 95% confidence interval for the mean value of y when x= 0.32.
Are the confidence intervals similar?
e.
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