PrevThe table below gives the list price and the number of bids received for five randomly selected items sold through online auctions. Using this data,consider the equation of the regression line, ŷ = bo + b₁x, for predicting the number of bids an item will receive based on the list price. Keep inmind, the correlation coefficient may or may not be statistically significant for the data given. Remember, in practice, it would not be appropriate touse the regression line to make a prediction if the correlation coefficient is not statistically significant.Price in Dollars 23 26 37 41Number of Bids 1245Step 2 of 6: Find the estimated y-intercept. Round your answer to three decimal places.476TableCopy Data>

Given The simple linear regression output of technology Excel Procedure: Using excel, follow the…

Answered: the equation of the regression line, y…

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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auctions. Using this data, consider the equation of the regression line, yˆ=b0+b1x, for predicting the number of bids an item will receive based on the list price. Keep in mind, the correlation coefficient may or may not be statistically significant for the data given. Remember, in practice, it would not be appropriate to use the regression line to make a prediction if the correlation coefficient is not statistically significant. Price in Dollars 106 108 117 181 193 Number of Bids 10 15 16 17 18 Table Find the estimated slope, y intercept and correlation coefficient. Round your answers to three decimal places
Approximate the maximal margin of error, E, by using z, fromn above, the giv and the sample size, n. Recall that n = 45 and o = 7,50. (Round your answer to two decimal places.) E = Z0.99n 7.50 2.58 2.58 45 2.88/ 2.88 Step 3 Find a 99% confidence interval for t. (Round your answers to two decimal places Recall that = = x = 37.5 and E= 2,88, lower limit E =. +E = upper limit
A pediatrician wants to determine the relation that may exist between a child's height and head circumference. She randomly selects eleven 3-year-old children from her practice and measures their heights and head circumference. According to the data, the linear correlation coefficient between the height and head circumference of a child is 0.918. Compute the coefficient of determination, R². A. 91.8% O B. 84.3% OC. 82.6% O D. 8.2%
You generate a scatter plot using Excel. You then have Excel plot the trend line and report the equation and the r2r2 value. The regression equation is reported asy=55.82x+32.43y=55.82x+32.43and the r2=0.3136r2=0.3136.What is the correlation coefficient for this data set?r =
use the sample data to construct a scatterplot. Use the first variable for the x-axis. Based on the scatterplot, what do you conclude about a linear correlation? FORECAST AND ACTUAL TEMPERATURES The table lists actual high temperatures and the high temperatures that were previously forecasted for these same days. The table includes data for ten different days near the author’s home. What does the result suggest about the accuracy of five-day predicted high temperatures?
Listed. below are paired data consisting of movie budget amounts and the amounts that the movies grossed. Find the regression equation, letting the budget be the predictor (x) variable. Find the best predicted amount that a movie will gross if its budget is $115 million. Use a significance level of a = 0.05. Budget ($)in Millions Gross ($) in Millions 41 21 114 68 79 51 118 65 9. 61 122 21 15 151 110 119 11 107 56 128 116 101 107 55 105 222 39 22 283 45 Click the icon to view the critical values of the Pearson correlation coefficient r. The regression equation is y%= X. %3D (Round to one decimal place as needed.)
lecture(11.12): A large amount of scatter in a scatter plot is an indication that the relationship between the two variables is (a) negative (b) strong (c) weak (d) moderate (e) positive
Please help solve.
The output of a different regression analysis on the effect of radio advertising spending, television advertising spending and online advertising spending on sales is given below. For this study they explored 3 different types of advertising spending (radio, television and online). They modelled it as y = ao + a1¤1 + az¤2 + az¤3. The table below gives the summary output of this regression analysis. Regression Analysis: Sales versus Spend Analysis of Variance Source DF s MS F-Value P-Value Regression d freg 23,986.44 MSR F-val p-val Error dferr 558.52 MSE Total 38 Find the Mean Squares for Regression (MSR) for this problem. Give your answer to 3 decimal places.
A group of Economics students wish to know whether a student's spending is related to his/her parents' monthly income. Which measure must be used? Group of answer choices A. regression analysis B. correlation analysis C. descriptive statistics D. partial correlation analysis
The scatterplot below shows the relationship between poverty rate in the 51 states in the US (including DC) and high school graduation rate. The linear for predicting poverty is as follows: poverty = 64.68 -0.62 HS-grad-rate High school graduation rate for North Carolina is 81.4% and the poverty rate is 13.1%. What is the residual for this observation? Choose the closest answer. % in poverty 18 16- 14 12 10 8 6 1.1 O-24.8 24.8 -1.1 80 85 % HS grad 90
Compute the value of the correlation coefficient for the data obtained in the study of the number of absences and the final grade of the seven students in the statistics class. Student. Number of absences. Also, find the equation of the regression line for the given data? Student. Number of absences. Final grade% ---------------------------------------------------------------------------- A. 6 82 B 2 86 C. 15 43 D. 9 74 E. 12 58 F 5 90 G 8 78

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