Question

Determine if there is a significant impact fronm the speed ot the machine and the air pressure used in it over the output rare of 0. Speed Pressure 122 144 127 141 103 131 127 101 122 103 123

Determine:

· The impact Speed

· The impact from the Pressure

· The impact of the interaction of both variables

· The Experimental Error Deviation

· The Experimental T for Speed

· The Experimental T for Pressure

· The Experimental T for the variables interaction

· The Critical Value of T that will be used to compare the experimental value

· Based on T test, what conclusion should be taken for Speed:

-Significant impact for the Speed and Pressure

-Significant impact for the Speed

-No significant impact of the Speed

-None of the above

· Based on T test, what conclusion should be taken for Pressure:

-Significant impact for the Speed and Pressure

-Significant impact for the Interaction

-No significant impact of the Pressure

-None of the above

· Based on T test, what conclusion should be taken for Interaction:

-Significant impact for the Speed and Pressure

-Significant impact for the Interaction

-No significant impact of the Speed and Pressure

-A and B

Answer 1

Result:

Regression Equation

output

=

131.00 - 4.0 pressure - 10.7 speed - 7.7 interaction

Determine:

· The impact Speed: -10.6667

· The impact from the Pressure: -4.0000

· The impact of the interaction of both variables: -7.6667

· The Experimental Error Deviation: 12.774

·

The Experimental T for Speed: -1.023

· The Experimental T for Pressure: -0.384

· The Experimental T for the variables interaction: -0.520

·

The Critical Value of T that will be used to compare the experimental value

·critical t at 8df =2.306

Based on T test, what conclusion should be taken for Speed:

-No significant impact of the Speed

·

Based on T test, what conclusion should be taken for Pressure:

-No significant impact of the Pressure

·

Based on T test, what conclusion should be taken for Interaction:

-No significant impact of the Speed and Pressure

Regression Analysis
	R²	0.397
	Adjusted R²	0.171	n	12
	R	0.630	k	3
	Std. Error	12.774	Dep. Var.	output
ANOVA table
Source	SS	df	MS	F	p-value
Regression	858.9167	3	286.3056	1.75	.2333
Residual	1,305.3333	8	163.1667
Total	2,164.2500	11
Regression output					confidence interval
variables	coefficients	std. error	t (df=8)	p-value	95% lower	95% upper
Intercept	131.0000	7.3749	17.763	1.03E-07	113.9935	148.0065
pressure	-4.0000	10.4297	-0.384	.7113	-28.0508	20.0508
speed	-10.6667	10.4297	-1.023	.3364	-34.7175	13.3842
interaction	-7.6667	14.7498	-0.520	.6173	-41.6797	26.3464