Given the following regression source table, can we say that the slope is significant at 5%? (Use the exact values given in the table.)Summary OutputRegression StatisticsMultiple R0.97333R Square0.94737Adjusted R Square0.921053Standard Error0.643797Observations4ANOVAdfSSMSFSignificance FRegression 1 14.921052 14.921052 35.9999710.0266715Residual2 0.8289480.414474Total315.75Coefficients Standard Errort Stat P-valueLower 95%Upper 95%Intercept2.513160.798793.14621 0.08791-0.923765.95008X0.626640.104446.00000 0.026670.177271.07601We ---Select--- ✓ conclude that the slope is significant because the p-value ofgiven in the table is ---Select---0.05.

The table provided in the question that contains the result of the hypothesis test for the slope is…

Answered: Given the following regression source…

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018

18th Edition

ISBN:9780079039897

Author:Carter

Publisher:Carter

Chapter4: Equations Of Linear Functions

Section: Chapter Questions

Problem 6SGR

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The accompanying table lists systolic blood pressures (mm Hg) and diastolic blood pressures (mm Hg) of adult females. Find the (a) explained variation, (b) unexplained variation, and (c) prediction interval for a systolic blood pressure of 118 mm Hg using a 99% confidence level. There is sufficient evidence to support a claim of a linear correlation, so it is reasonable to use the regression equation when making predictions. Systolic Diastolic 127 69 103 65 130 73 104 64 157 74 97 51 155 90 111 69 124 68 112 75 103 60 128 67
A study on how the time of exercise affects heart rate had the following outputSimple Linear regression results:Dependent Variable: Heart RateIndependent Variable: Exercise timeSample size: 81R (correlation coefficient) = 0.4188R-sq = 0.1754Estimate of error standard deviation: 0.32416Parameter estimates: Parameter Estimate Std. Err. DF T-Stat P-Value Intercept 1.80938 1.9352 79 0.935 0.3524 Slope 0.4752395 0.11594 79 4.099 <0.0001 According to the output, if I exercise for time=163, what should be my heart rate?Use 4 decimal placesAfter exercising everybody has different heart rates, which means there is a lot of variability in heart rates. How much of that variability is explained by exercise time?Use 4 decimal places
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A sociologist is interested in the relation between ?,the number of job changes and ?, the annual salary(in thousands of dollars) for people living in theNashville area. A random sample of 10 peopleemployed in Nashville provided the followinginformation:? 4 7 5 6 1 5 9 10 10 3? 33 37 34 32 32 38 43 37 40 33 What does the slope of the regression equationrepresent in terms of the annual salary? Identify any outliers or potential influentialobservations. Explain your reasoning. Identify the predictor and response variables. r2 = r= Interpret the meaning of r2 and how useful theregression equation is for making predictions. Please explain what kind of problem this is and how to solve it using a Ti83 calculator. Thank you
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A researcher interested in explaining the level of foreign reserves for the country of Barbados estimated the following multiple regression model using yearly data spanning the period 2001 to 2016: ??=?+????+????+???? Where FR = yearly foreign reserves ($000’s), OIL = annual oil prices, EXP = yearly total exports ($000’s) and FDI = annual foreign direct investment ($000’s). The sample of data was processed using MINITAB and the following is an extract of the output obtained: Predictor Coef StDev t-ratio p-value Constant 5491.38 2508.81 2.1888 0.0491OIL 85.39 18.46 4.626 0.0006EXP -377.08 112.19 * 0.0057FDI -396.99 160.66 -2.471 ** S = 2.45 R-sq = 96.3% R-sq(adj) = 95.3% Analysis of VarianceSource DF SS…
A researcher interested in explaining the level of foreign reserves for the country of Barbados estimated the following multiple regression model using yearly data spanning the period 2001 to 2016: ??=?+????+????+???? Where FR = yearly foreign reserves ($000’s), OIL = annual oil prices, EXP = yearly total exports ($000’s) and FDI = annual foreign direct investment ($000’s). The sample of data was processed using MINITAB and the following is an extract of the output obtained: Predictor Coef StDev t-ratio p-value Constant 5491.38 2508.81 2.1888 0.0491 OIL 85.39 18.46 4.626 0.0006 EXP -377.08 112.19 * 0.0057 FDI -396.99 160.66 -2.471 ** S = 2.45 R-sq = 96.3% R-sq(adj) = 95.3%…
A researcher interested in explaining the level of foreign reserves for the country of Barbados estimated the following multiple regression model using yearly data spanning the period 2001 to 2016: ??=?+????+????+???? Where FR = yearly foreign reserves ($000’s), OIL = annual oil prices, EXP = yearly total exports ($000’s) and FDI = annual foreign direct investment ($000’s). The sample of data was processed using MINITAB and the following is an extract of the output obtained: Predictor Coef StDev t-ratio p-value Constant 5491.38 2508.81 2.1888 0.0491 OIL 85.39 18.46 4.626 0.0006 EXP -377.08 112.19 * 0.0057 FDI -396.99 160.66 -2.471 ** S = 2.45 R-sq = 96.3% R-sq(adj) = 95.3% Analysis of Variance Source DF SS MS F p Regression 3 1991.31 663.77 ? ?? Error 12 77.4 6.45 Total 15 a). Fill in the missing values ‘*’, ‘**’,…

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