X | Y | X * Y | X2 | Y2 | |
8 | 3 | 24 | 64 | 9 | |
2 | 10 | 20 | 4 | 100 | |
11 | 3 | 33 | 121 | 9 | |
6 | 6 | 36 | 36 | 36 | |
5 | 8 | 40 | 25 | 64 | |
4 | 12 | 48 | 16 | 144 | |
12 | 1 | 12 | 144 | 1 | |
9 | 4 | 36 | 81 | 16 | |
6 | 9 | 54 | 36 | 81 | |
1 | 14 | 14 | 1 | 196 | |
Total | 64 | 70 | 317 | 528 | 656 |
Equation of regression line is Ŷ = a + bX
b = -1.106
a =( Σ Y - ( b * Σ X) ) / n
a =( 70 - ( -1.1064 * 64 ) ) / 10
a = 14.081
Equation of regression line becomes Ŷ = 14.0811 - 1.1064
X
21. Use the least square method to determine the equation of line of best fit for...
The “least square regression model” is based on the “best fit” line to the data. This will determine a line equation for LINEAR data that will minimize “residual” values (difference between actual and “predicted” ) True or False Correlation tells us if there is a relationship between two numeric variables and how strong that relationship is: True or False
Least Square Method Use the least squares method and find a linear fit for the following points: (0, -3), (2, -3), (1, -4), (4, 5) Quickly plot the points (by hand) and comment on the likely quality of the linear fit. Would another type of curve fit be better suited?
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2. Use least-squares regression to fit a straight line...
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Linear Regression and Prediction perform a linear regression to determine the line-of-best fit. Use weight as your x (independent) variable and braking distance as your y (response) variable. Use four (4) places after the decimal in your answer. Sample size, n: 21 Degrees of freedom: 19 Correlation Results: Correlation coeff, r: 0.3513217 Critical r: ±0.4328579 P-value (two-tailed): 0.11837 Regression Results: Y= b0 + b1x: Y Intercept, b0: 125.308 Slope, b1: 0.0031873 Total Variation: 458.9524 Explained Variation: 56.6471 Unexplained Variation: 402.3053...
dentifying the Line of Best Fit (Least Squares Regression) Question A random sample of 11 workers produced the following data, where x is the years of employment, and y is the average number of minutes required to complete the morning duties. The data are presented below in the table of values. x y 5 49 8 42 10 41 12 39 15 37 16 34 19 30 22 25 25 24 27 22 28 16 What is the equation of...
use
scattergraph method, high low method, and the least square
regression
247 Cost-Volume-Profit Relationships EXHIBIT SA-5 A Scattergraph Plot for Brentine Hospital Using Microsoft Excel 5:2.000 $10,000 58,000 Maintenance cost 56.000 54.000 52.000 2,000 2000 6.000 4000 Patient Day To prepare a scattergraph plot in Excel, begin by highlighting the data in cells B4 through CIO (as shown in Exhibit 5A-4). From the Charts group within the Insert tab, select the "Scatter" subgroup and then click on the choice that...
Python pleases! Write a program that will produce the following table below. You will use a nested for loop and a duplicate nested while loop in one program. Note that this is the one through twelve multiplication table. Write the flowchart for the program. X 1 2 3 4 5 6 7 8 9 10 11 12 1 1 2 3 4 5 6 7 8 9 10 11 12 2 2 4 6 8 10 12 14 16 18...
1. Based on the elemental analysis for the unknown
organic compound, calculate the empirical formula. If compound
contains an unknown element (X), briefly explain how you identified
which element it is.
2. Determine molecular formula for unknown compound and explain
answer.
3. Based on molecular formulary, calculate degree of saturation
present in unknown organic compound.
4. Clearly label molecular ion peak and base peak directly on the
mass spectrum and draw structures corresponding to these
icons.
5. identify at least...
please help me determine my unknown
my empirical and molecular formula is C8H10O
my melting point is 61-69 degrees C
i need
-peaks labeled (base and ion peaks)
-drawn structure
also need
one fragment ion peak identified
functional groups identified
THANKS! ill venmo you literally HELP
53 46! 81 Masses and Abundances 26 71 39 91 | 46 31 27 64 | 0 2 1 1 | 29 81 41 27 | 48 TE I 3 It | 2 21...