Below is the output from regression. Use the p-value and decide if the equation is good to use for forecasting. Group of answer choicesA.) p-value = 82 - equation is good to useB.) p-value = 0.15 - equation is not good to useC.) p-value = 0.18 - equation is not good to useD.) p-value = -16 - equation is good to use SUMMARY OUTPUTMultiple RR SquareAdjusted RStandard EObservatioANOVARegressionResidualTotalInterceptX VariableRegression Statisticsdf0.4133787390.1708819810.087970181.252363732Coefficients12SSMSFignificance F1 3.232517 3.232517 2.061009 0.18164210 15.68415 1.56841511 18.91667andard Errt Stat P-value Lower 95%Upper 95%ower 95.0%pper 95.0982.10606061 0.770777 106.5238 1.3E-16 80.38866 83.82346 80.38866 83.823460.15034965 0.104728 1.435622 0.181642 -0.083 0.383698 -0.083 0.383698

Below is the output from regression. Use the p-value and decide if the equation is good to use for forecasting. Group of answer choices A.) p-value = 82 - equation is good to use B.) p-value = 0.15 - equation is not good to use C.) p-value = 0.18 - equation is not good to use D.) p-value = -16 - equation is good to use

Below is the output from regression. Use the p-value and decide if the equation is good to use for forecasting. Group of answer choices A.) p-value = 82 - equation is good to use B.) p-value = 0.15 - equation is not good to use C.) p-value = 0.18 - equation is not good to use D.) p-value = -16 - equation is good to use

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

See similar textbooks

Similar questions

The table and scatter plot show the time spent studying, x, and the midterm score, y, for each of 10 students. The equation of the line of best fit is y = 4.2x+11.58. Time spent Midterm 100- studying, x (in hours) score, y 90 3.3 21.51 4.0 28.04 Midterm score 60 Xx 4.8 22.89 50- 5.7 36.06 40- 6.9 36.28 30- 20- 8.2 58.20 104 8.5 45.42 14 10 12 14 16 18 20 22 24 12 9.1 56.72 12.1 70.00 Time spent studying (in hours) 15.0 74.58 Use the equation of the line of best fit to fill in the blanks below. Give exact answers, not rounded approximations. Time spent studying (in hours) Observed midterm Predicted midterm Residual Score Score 12.1 15.0
The table describes the height of a weather balloon, in meters, minutes after its launch. Time (minutes) Height (meters) 0 60 1 68.2 2 74.3 3 80.9 4 89.7 8 128.5 Select which equation best models the data. O O O O y = 8.52 +58 y = 8.2x + 60 y = 11.4x +57 y = 11.8x + 54
The graph plots the gas mileage of various cars from the same model year versus the weight of these cars in thousands of pounds. Describe the association between the two variables. Also explain what the point at the very top represents. 3.75 Weight (thousands of pounds) BIUA A LE xx, E 12pt Paragraph Subm
The heights and weights of elephants at the zoo are recorded in the table. Height (in feet) 4 6 7 7 7.5 9 Weight (in tons) 1.25 1.9 2.5 2.1 2.3 3.4 Interpret the slope, using the equation for the line of best fit ŷ = 0.513x − 0.408; for every additional foot in height, the elephant is predicted to gain 0.513 tons of weight ŷ = 0.408x − 0.513; for every additional foot in height, the elephant is predicted to gain 0.408 tons of weight ŷ = 0.408x − 0.513; for every additional foot in height, the elephant is predicted to lose 0.513 tons of weight ŷ = 0.513x − 0.408; for every additional foot in height, the elephant is predicted to lose 0.408 tons of weight
A scientist measures the velocity of a major river at various depths. After collecting and analyzing the data, the scientist determines that the equation -0. 114x + 1. 658, where y = x represents the depth, in feet, and y represents the velocity of the river, in feet per second, can be used to model the data. The linear model has a correlation coefficient of 0. 964. Part A: Explain what the slope and intercept of the equation mean in terms of the context. Part B: Explain what the correlation coefficient indicates about the relationship between the two variables.
Susan wants to learn more about how temperature changes in her city. She creates a table that shows the low temperatures for two days. The table is below. Which of the following statements is correct? Day Temperature 1 -8° 2 -3° The slope between the data points is positive because two negatives makes a positive. The slope between the two data points is negative because the temperature decreased from Day 1 to Day 2. The slope between the two data points is positive because the temperature increased from Day 1 to Day 2. The slope between the two data points is negative because the two temperatures are negative.
A clothing business finds there is a linear relationship between the number of shirts,n, it can sell and the price,p, it can charge per shirt. In particular, historical data shows that 6000 shirts can be sold at a price of $56, while 9000 shirts can be sold at a price of $35. Give a linear equation in the form p = mn + b that gives the price p they can charge for ŉ shirts. Answer: p= Round the value of your slope to three decimal places. Be careful to use the proper variable and use the Preview button to check your syntax before you submit your answer.
L8Q9.Find the relationship between the two variables using the given data. x 1 2 3 4 5 y 15 30 45 60 75 A.If one measure increases, the other decreases. B.If one measure increases, the other also increases. C.The two measures are not related to each other along a straight line. D.None of the choices.
whats the answer
Explain what is meant when two variables are positively linesrly related. What would scatter plott look like? Two variables x and y are postively linearly related if when the x value increases , the y value increases or decrease? The points on a scatter plot fall approximately in a-an ascending straight line b- a descending curve c- a descending straight line or d- an ascending curve from left to right?
The percent of defects is the x-coordinate, while the percent of new machines is the y-coordinate. So, the table of values corresponds to the points (25,32), (20,40), (15,50), (10,65), (5,70), (0,85). Question Using the linear relationship graphed above, estimate the percent of new machines if there is 12% defects in the shoes at various production facilities. Provide your answer below: _____
I need the right answer to a and b.