TRAINING EXPENSE (Y) ADMISSION (X) 3 35 1 15 2 20 4 45 A. DETERMINE THE...

TRAINING EXPENSE (Y)	ADMISSION (X)
3	35
1	15
2	20
4	45

A. DETERMINE THE CORRELATION CO-EFFICIENT

B. DETERMINE THE STANDARD ERROR OF THE ESTIMATE FOR THE SIMPLE REGRESSION

Expert Solution

orchestra answered 3 years ago

Consider the x, y data: x-data (explanatory variables): 10, 15, 20, 25, 30, 35, 40, 45,...

Consider the x, y data: x-data (explanatory variables): 10, 15, 20, 25, 30, 35, 40, 45, 50, 55, 60, 65, 70, 75, 80, 85, 90, 95, 100 y-data (response variables): 1359.9265, 1353.3046, 220.7435, 964.6208, 1861.9920, 1195.3707, 1702.0145, 2002.0900, 1129.1860, 1864.5241, 1444.2239, 2342.5453, 2410.9056, 2766.2245, 2135.2241, 3113.7662, 4311.7260, 3313.1042, 4072.0945 Compute a best fit line to the data. Report: a. The slope coefficient, β1: b. The intercept coefficient, β0: c. The standard error of the residuals σε: d. The Adjusted...

Consider the x, y data: x-data (explanatory variables): 10, 15, 20, 25, 30, 35, 40, 45,...

Consider the x, y data: x-data (explanatory variables): 10, 15, 20, 25, 30, 35, 40, 45, 50, 55, 60, 65, 70, 75, 80, 85, 90, 95, 100 y-data (response variables): 1359.9265, 1353.3046, 220.7435, 964.6208, 1861.9920, 1195.3707, 1702.0145, 2002.0900, 1129.1860, 1864.5241, 1444.2239, 2342.5453, 2410.9056, 2766.2245, 2135.2241, 3113.7662, 4311.7260, 3313.1042, 4072.0945 Compute a best fit line to the data. Report: a. The slope coefficient, β1: ___ b. The intercept coefficient, β0: ___ c. The standard error of the residuals σε: ___ d....

y x1 x2 13 20 3 1 15 2 11 23 2 2 10 4 20...

y x1 x2 13 20 3 1 15 2 11 23 2 2 10 4 20 30 1 15 21 4 27 38 0 5 18 2 26 24 5 1 16 2 A manufacturer recorded the number of defective items (y) produced on a given day by each of ten machine operators and also recorded the average output per hour (x1) for each operator and the time in weeks from the last machine service (x2). a. What is the...

In MATLAB: x = [1 3 4 6 7 10 11 15 16] y = [20...

In MATLAB: x = [1 3 4 6 7 10 11 15 16] y = [20 24 25 30 32 34 39 41 48] This is an exercise in numerical differentiation. Using the central difference method where possible, find dy/dx for the data set provided. Plot results.

In MATLAB: x = [1 3 4 6 7 10 11 15 16] y = [20...

In MATLAB: x = [1 3 4 6 7 10 11 15 16] y = [20 24 25 30 32 34 39 41 48] This is an exercise in numerical differentiation. Using the central difference method where possible, find dy/dx for the data set provided. Plot results.

Determine the correlation for the following joint probability distribution: x 2 4 2 4 y 3...

Determine the correlation for the following joint probability distribution: x 2 4 2 4 y 3 4 5 6 fx,y(x,y) 1/8 1/4 1/2 1/8 a. Correlation = 0.6387 b. Correlation = 0.0377 c. Correlation = 0.3737 d. Correlation = 0.8023

Solve this differential equation y''+(-4-2-2)y'+(4+4+4+4)y=x y(0)=3-2 y'(0)=2-3 Answer it as y(x)=... and motivate all the steps...

Solve this differential equation y''+(-4-2-2)y'+(4+4+4+4)y=x y(0)=3-2 y'(0)=2-3 Answer it as y(x)=... and motivate all the steps of the calculation

Question

TRAINING EXPENSE (Y) ADMISSION (X) 3 35 1 15 2 20 4 45 A. DETERMINE THE...

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Expert Solution

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Consider the x, y data: x-data (explanatory variables): 10, 15, 20, 25, 30, 35, 40, 45,...

Consider the x, y data: x-data (explanatory variables): 10, 15, 20, 25, 30, 35, 40, 45,...

y x1 x2 13 20 3 1 15 2 11 23 2 2 10 4 20...

In MATLAB: x = [1 3 4 6 7 10 11 15 16] y = [20...

In MATLAB: x = [1 3 4 6 7 10 11 15 16] y = [20...

Determine the correlation for the following joint probability distribution: x 2 4 2 4 y 3...

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