Answer :
Reason : The regression equation is y=bo+b1*x, Here in this regression model bo=0.9156039 and b1=1.025779, both these values are rounded upto 3 decimal places as a result bo=0.916 and b1=1.026.(b0 and b1 are given in the output of the model)
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The data below shows the selling price in hundred thousands) and the list price in hundred...
The data below shows the selling price (in hundred thousands) and the list price (in hundred thousands) of homes sold. Construct a scatterplot, find the value of the linear correlation coefficient r, and find the P-value using alphaαequals=0.05 Is there sufficient evidence to conclude that there is a linear correlation between the two variables? Selling price (x): 404, 304, 379, 432, 456, 478, 318, 354, 415, 330, List price (y): 414, 316, 387, 439, 487, 476, 320, 370, 430, 431...
What would you predict the highway mpg for a car that is 142 inches long? Show your calculation and round to the nearest whole number. Analysis Data Data Sets Window Help St ClearCopy PasteSave relation and Regression Print Significance: 0.05 Select the columns to be used for the x and y variables Sample size, n: Degrees of freedom: 19 21 Correlation Results: Correlation coeff, r: -0.7327824 Criticalr: 9 20.43285 79 x variable columny variable column P-value (two-tailed): 0.00016 Regression Results:...
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...
The data below shows the selling price (in hundred thousand) and the list price (in a hundred thousand) of homes sold. Construct a scatterplot, find the value of the linear correlation coefficient r, and find the P-value using alphaαequals=0.05 Is there sufficient evidence to conclude that there is a linear correlation between the twovariables? Selling Price (x) 400400 305305 376376 433433 455455 477477 315315 355355 416416 331331 List Price (y) 414414 317317 385385 440440 489489 479479 325325 367367 433433 342342...
House Selling Price Data for 100 homes relating y = selling price (in dollars) to x = size of the house (in square feet) results in the regression line that is shown below. y= 9161 + 77.008x the slope estimate has standard error 6.262 Show all steps of a two-sided significance test of independence. Could the sample association between these two variables by explained by random variation? a) Assumptions b) Hypotheses: c) Test Statistics: d) p-value: e) Conclusion:
13.76 You want to develop a model to predict the selling price of homes based on assessed value. A sample of 30 recently sold single-family houses in a small city is selected to study the relationship between selling price (in thousands of dollars) and assessed value (in thousands of dollars). The houses in the city were reassessed at full value one year prior to the study. The results are in House 1. (Hint: First, determine which are the independent and...