The following table gives the average number of hours 5 junior high students were left unsupervised each day and their corresponding overall gradeaverages.Hours Unsupervised 2 2 4 6 6Overall Grades64 73 76 77 86Show Transcribed TextStep 1 of 5: Calculate the sum of squared errors (SSE). Use the values = 62.2000 and b, 3.2500 for the calculations, Round your answer tothree decimal placesTableCopy DataStep 2 of 5: Calculate the estimated variance of errors. 2. Round your answer to three decimal places.Show Transcribed TextStep 3 of 5: Calculate the estimated variance of slope. s. Round your answer to three decimal places. Step 4 of 5: Construct the 98 % confidence interval for the slope. Round your answers to three decimal places.Show Transcribed TextStep 5 of 5: Construct the 95 % confidence interval for the slope. Round your answers to three decimal places.

Given b0=62.200 and b1=3.25 Then the regression equation becomes: y^=62.20+3.25*x Sample size (n) =5…

Answered: Step 1 of 5: Calculate the sum of…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Data were gathered and displayed on the scatter plot. 15 y 14 13 12 11 10 9 8 7 6 5 4 3 2 1 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 Which of the following is the best equation to model the data? ŷ = 11.5(0.81)* Oŷ = 8.1(0.115)* Oŷ= -0.115x+8.1 Oŷ=-0.81x+11.5
A researcher wants to determine if the exam scores of the students are dependent on the length of time spent in studying the subject. Ten students in a certain class were taken and the results are shown in the table below where X is the time spent in studying the subject in hours and Y is the examination scores. (Copy-paste the data and run the analysis using MS Excel). X (time) Y (score) 1.5 80 3.0 83 1.25 83 0.5 70 3.5 85 2.5 75 1.0 70 3.0 90 2.5 86 4.0 91 Predict the examination score (rounded to the nearest integer) of a student who spends 2 hours in studying the subject.
The table below shows the number of state-registered automatic weapons and the murder rate for several Northwestern states. X 11.3 y 13.3 10.9 9.9 8.4 6.8 3.9 2.8 2.4 2.5 7 6.7 6.4 6.3 x = thousands of automatic weapons y = murders per 100,000 residents This data can be modeled by the equation ŷ = 0.79x + 4.32. Use this equation to answer the following. Answer = 12.829 0.9 5 A) How many murders per 100,000 residents can be expected in a state with 10.1 thousand automatic weapons? Answer = 6.123 x Round to 3 decimal places. B) How many murders per 100,000 residents can be expected in a state with 2.7 thousand automatic weapons? x Round to 3 decimal places.
Draw a scatter diagram and find r for the data shown in the table. (Round r to three decimal places.) x y 10 15 20 42 30 60 30 54 50 70 60 85 find r
H. Use the model to predict sales when the business spends $885 ($'000) in the advertisement. Does the model underestimate or overestimate sales? G. What is the value of the coefficient of determination, R2? What does R2 tell us about explained variation in y? (Refer to Coefficient of Determination LO 12-4). H. Use the model to predict sales when the business spends $885 ($'000) in the advertisement. Does the model underestimate or overestimate sales?
Statistical technique used to determine the degree to which two variables are related is known as a. Regression b. Correlation c. None of these d. Dispersion
Explain please
Find the following for this data on the length of an eruption of a geyser at Yellowstone to the amount of time until the next eruption. Geyser Eruption Data Length of Eruption (in minutes) Time until next Eruption (in minutes) 3 4.54 2.53.55 2 68 89 83 62 75 9257 Step 1 Plot the data points. Be sure to: Title your graph Label each axis including units Use appropriate scales Step 2 Identify the correlation. Step 3 Sketch the linc of best fit. Step 4 Identify two points on the line. Step 6 Write an equation using slope and the y-intercept. Show all work. Step 7 Use your line and its equation to predict how long until the next eruption if the geyser only erupted for 1 minute. Show all work. Step 5 is: "find slope of line of best fit. Show all work."Please show all work!
The table below shows the number of state-registered automatic weapons and the murder rate for several Northwestern states. 11.8 8.2 6.9 3.6 2.5 2.8 2.6 0.4 14 11.3 10.2 7.4 6.5 6.3 5.9 4.5 x thousands of automatic weapons y = murders per 100,000 residents This data can be modeled by the equationý = 0.85x + 4.12. Use this equation to answer the following; %D A) How many murders per 100,000 residents can be expected in a state with 7.3 thousand automatic weapons? Answer = Nearest whole value. B) How many murders per 100,000 residents can be expected in a state with 1 thousand automatic weapons? Nearest whole value Answer =
Solve for the slope, y-intercept, equation of the trend line, the correlation coefficient, and the coefficient of determination for the following the data set. Show your work and explain the steps you used to solve. Round your answer to the nearest hundredth.
Solve.
See picture for problem. Thx

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