calculus 151 regression project
DESCRIPTION
Calculus 151 Regression Project. Data collected from the NJ Department of Education Website. NJ Standardized Test Scores. 76.8 – 75.2 1.6 Average Rate of Change = 02 - 11 = -9 = - .778. Sine Regression. Instantaneous Rate of Change at 2003 = -5.174. - PowerPoint PPT PresentationTRANSCRIPT
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Calculus 151 Regression Project
Data collected from the NJ Department of Education Website
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NJ Standardized Test ScoresYear % of students proficient in
Mathematics
2002 76.8
2004 70.1
2005 75.5
2006 75.9
2007 73.4
2008 74.8
2009 72.7
2010 74.1
2011 75.2
76.8 – 75.2 1.6 Average Rate of Change = 02 - 11 = -9 = - .778
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0 2 4 6 8 10 1266
68
70
72
74
76
78
76.8
70.1
75.575.9
73.4
74.8
72.7
74.1
75.2
NJ Standardized Math Scores
NJ Standardized Math Scores
Years
% o
f st
ud
en
ts p
rofi
cien
t in
Math
em
ati
cs
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Sine Regression
Instantaneous Rate of Change at 2003 = -5.174
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Quartic RegressionR2 =.555
Instantaneous Rate of Change at 2003 = -1.826
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Split Regressions
Limit x 6.5- 75.25657 Limit x 6.5+ 71.669602
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Continuous Split Regressions
Limit x 6.5 73.463086
Limit x - ∞ ∞ Limit x ∞ DNE
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Derivative of Split Regressions
dy/dx of data points
2002 7.58
2004 1.634
2005 -.1321
2006 -1.093
2007 12.347
2008 -15.39
2009 8.2643
2010 4.3229
2011 -14.05
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Derivatives of exponential, logarithmic, and sine regressions
Y’= -.6345494264 x
Y’=-6.784189065* cos(-2.304469566 x + 1.333706904)
Y’= 74.56303051 *.9993957215^x *ln(.9993957215)
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Newton’s Methodfinding zeros of the cubic regression
X0 =23.74251964
X0 =23.74251964
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Mean Value Theoremf’(c) = 75.682- 76.565 11-2 f’(c) = - .883 9 f’(c) = -.098
c = Xf(c) = Y4
f’(c) = Y5
Y= -.098(x – 3.4931) + 71.661Y= -.098(x – 6.9124) + 75.325Y= -.098(x – 9.67854) +72.782
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Error and CorrelationRegression Correlation Error
Linear .0058864321 +/-.0263
Quadratic .0872759121 +/-.21465
Cubic .1213999181 +/-.24505
Quartic .5550642502 +/-.51315
Logarithmic .0285639439 +/-.0793
Exponential .0041896058 +/-.0225
Power .0244578151 +/-.0745
Sine N/A +/-.10239
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Max and Min of Cubic Regression
The Regression has a minimum at 5.4093854 and a maximum at 10.033224. It is increasing between [5.4093854, 10.033224] ,and is decreasing between (- ∞ , 5.4093854) U (10.033224, ∞).
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Second derivative of cubic regression
Concave up
Concave down
Inflection Point
Second Derivative Zero
First Derivative Maximum
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Approximating area under a curve using left endpoints
74
.64
4
76
.35
2
71
.13
8
76
.51
7
74
.42
71
.89
1
77
.42
6
72
.43
2
73
.68
4
Estimate Area is 668.504
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Approximating area under a curve using right endpoints7
6.3
52
71
.13
8
76
.51
7
74
.42
71
.89
1
77.4
26
72.4
32
73.6
84
76.9
76
Estimate Area is 670.836
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Finding Area under the curve using the Fundamental Theorem of Calculus
11
Area=∫02
2.943926518sin(-2.304469566x+1.333706904)
+74.26459702dx
F(x)= 1.277485527cos(-2.304469566x +1.333706904)+74.26459702x
F(11)- F(02)≈ 817.47-147.26≈ 670.21
Area ≈ 670.21
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Actual Area under the curve
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Average Value
Area= the sum of the % of students proficient in Mathematics over the past 9 years
Average % of students 670.69193proficient in Mathematics = 9 ≈
74.55%for each year