NO handwriting please The President of the Farmers Association wants to know how theamount of fertilizer and the amount of water given to plants affect theirgrowth. The results were inputted into MINITABSO as to fit the model.Regression Analysis: Growth versus Water, FertilizerThe regression equation isGrowthB + ¢ Water + aFertilizerPredictorСоefSEСоefTP42.083.1180.4606.083Constant**0.000.3860.654Water0.178Fertilize5.7900.952rS6.159R-Sg77.1%%R-Sq(adj)73.3%Analysis of VarianceSourceDFSSMSFP1532.6 766.30312 455.13 37.928*****Regression01ResidualErrorTotal14 1987.733Write out the regression equationWhat is the sample size used in this investigation?Determine the values of *, ** and *** ****i.ii.iii.

The independent variables are water and fertilizer. The dependent variable is growth. We have to…

Answered: The President of the Farmers…

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 4SGR

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In the table below ratings data on x= the quality of the speed of execution and y= overall satisfaction with electronic trades provided the estimated regression equation y^= -0.9082 + 1.2404x (AAII website). Brokerage Speed Satisfaction Scottrade, Inc. 3.1 2.8 Charles Schwab 3.6 3.4 Fidelity Brokerage Services 2.9 2.6 TD Ameritrade 3.1 3.0 E*Trade Financial 3.6 3.9 Vanguard Brokerage Services 3.5 3.8 USAA Brokerage Services 3.3 3.7 Thinkorswim 3.8 3.8 Wells Fargo Investments 3.5 3.2 Interactive Brokers 3.1 2.6 Zecco.com 3.9 3.6 -select your answer choices- P-value is less than 0.01 between 0.01 and 0.02 between 0.02 and 0.05 between 0.05 and 0.10 between 0.10 and 0.20 between 0.20 and 0.40 greater than 0.40 Conclusion We (can not, can) reject H0: B1=0, we conclude that speed of execution and overall satisfaction (are, are not) related. Thank you!
when a regression is used as a method of predicting dependent variables from one or more independent variables. How are the independent variables different from each other yet related to the dependent variable?
Hormone replacement therapy (HRT) is thought to increase the risk of breast cancer. The accompanying data on x percent of women using HRT and y breast cancer incidence (cases per 100,000 women) for a region in Germany for 5 years appeared in the paper *Decline in Breast Cancer Incidence after Decrease in Utilization of Hormone Replacement Therapy." The authors of the paper used a simple linear regression model to describe the relationship between HRT use and breast cancer incidence. HRT Use Breast Cancer Incidence 46.30 103.30 40.60 105.00 39.50 100.00 36.60 93.80 30.00 83.50 (a) What is the equation of the estimated regression line? (Round your numerical values to four decimal places.) 9= (b) What is the estimated average change in breast cancer incidence (in cases per 100,000 women) associated with a 1 percentage point increase in HRT use? (Round your answer to four decimal places.) cases per 100,000 women (c) What breast cancer incidence (in cases per 100,000 women) would be…
Acrylamide is a chemical that is sometimes found in cooked starchy foods and which is thought to increase the risk of certain kinds of cancer. The paper "A Statistical Regression Model for the Estimation of Acrylamide Concentrations in French Fries for Excess Lifetime Cancer Risk Assessment"+ describes a study to investigate the effect of frying time (in seconds) and acrylamide concentration (in micrograms per kilogram) in french fries. The data in the accompanying table are approximate values read from a graph that appeared in the paper. Frying Acrylamide Time Concentration 150 240 240 270 300 300 150 + 115 190 180 145 275 (a) Find the equation of the least-squares line for predicting acrylamide concentration using frying time. (Round your answers to four decimal places.) ŷ = (b) Does the equation of the least-squares line support the conclusion that longer frying times tend to be paired with higher acrylamide concentrations? Explain. No, the least squares regression line equation…
What is Instrumental Variables Regression?
Acrylamide is a chemical that is sometimes found in cooked starchy foods and which is thought to increase the risk of certain kinds of cancer. The paper "A Statistical Regression Model for the Estimation of Acrylamide Concentrations in French Fries for Excess Lifetime Cancer Risk Assessment"+ describes a study to investigate the effect of frying time (in seconds) and acrylamide concentration (in micrograms per kilogram) in french fries. The data in the accompanying table are approximate values read from a graph that appeared in the paper. Frying Acrylamide Time Concentration 150 240 240 270 300 300 150 125 + 195 185 135 275 USE SALT (a) Find the equation of the least-squares line for predicting acrylamide concentration using frying time. (Round your answers to four decimal places.) ŷ = (b) Does the equation of the least-squares line support the conclusion that longer frying times tend to be paired with higher acrylamide concentrations? Explain. O No, the least squares regression line…
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