The relationship between rainfall and the probability of floodingis given by the logistic regression p =11+e-(a+br)Use thefollowing data and regression method with a confidence levelof 95% to select all true expressions about the model.r=Rainfall (mm)200250280300325350380400p=Probability offlooding0.020.090.120.30.40.70.90.93Select one or more:O 1. The correlation of p and r is a strong negativecorrelation.2. The estimation of p at r=360 is 0.783. The maximum error for the data happens at r=3254. a = 10.8431 and b = -0.03375. R-squared=0.99

The logistic regression is modelled a probability of the discrete random variable. The discrete…

Answered: The relationship between rainfall and…

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

18th Edition

ISBN:9780079039897

Author:Carter

Publisher:Carter

Chapter4: Equations Of Linear Functions

Section4.5: Correlation And Causation

Problem 2AGP

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Kind karl person’s coefficoent of correlation using regression coefficient bxy = -0.37 , bxy =-.50
mean of x = 2.882, standard deviation = 1.634 Mean of y = 2.588, standard deviation = 0.246 The correlation coefficient is 0.159 slope coefficient for regression line = .0239 Find the intercept for the regression line.
mean of x = 2.882, standard deviation = 1.634 Mean of y = 2.588, standard deviation = 0.246 The correlation coefficient is 0.159 slope coefficient for regression line = .0239 y intercept = 2.52 write the regression model
A logistic regression model was proposed for classifying common brushtail possums into their two regions. The outcome variable took value 1 if the possum was from Victoria and 0 otherwise. Estimate SE Pr(>|Z|) (Intercept) 31.1256 9.7822 3.1819 0.0014 sex_male -1.3917 0.6456 -2.1557 0.0312 -2.2381 skull_width total_length tail_length -0.2782 0.1243 0.0252 0.5529 0.1337 4.1354 -1.8147 0.3636 -4.9909 (a) Write out the form of the model. log_odds(Victoria) =| sex_male skull_width + total_length + tail_length Also identify which of the variables are positively associated when controlling for other variables. O skull_width O sex_male total_length tail_length (b) Suppose we see a brushtail possum at a zoo in the US, and a sign says the possum had been captured in the wild in Australia, but it doesn't say which part of Australia. However, the sign does indicate that the possum is male, its skull is about 64 mm wide, its tail is 40 cm long, and its total length is 85 cm. What is the reduced…
The data show the chest sire and weight of several bears Find the regression equation, leting chest size be the independent(x)variable. Then find the best predicted we ght of a bear inith a chest sizo of 40 inches. Is the result close to the actual weight of 272 pounds? Use a signifcance level of 0.05 8 Click the icon to verw the critical values of the Pearson correlation coefficient . What is the regrestion equation? \[ \hat{y}=\text {. K(Round ta one decimal place as needed) } \]
Compute the predicted value of IPT for the mean value of PSS (static facial expressions (higher PSS)) The regression formula is: The terms of the equation and their values are:
please anwer whatever you are allowed too. Thank you. A regression was run to determine if there is a relationship between the happiness index (y) and life expectancy in years of a given country (x).The results of the regression were: ˆyy^=a+bxa=-1.68b=0.168 (a) Write the equation of the Least Squares Regression line of the formˆyy^= + x(b) Which is a possible value for the correlation coefficient, rr? -1.417 1.417 0.702 -0.702 (c) If a country increases its life expectancy, the happiness index will increase decrease (d) If the life expectancy is increased by 0.5 years in a certain country, how much will the happiness index change? Round to two decimal places.(e) Use the regression line to predict the happiness index of a country with a life expectancy of 69 years. Round to two decimal places.
Please help me to write the interpretation for ANOVA and linear regression for both countries in Austria and United Kingdom (Attachment is there)
There is a perception that the wastage is depends upon the level of production. You are required to verify this perception, by performing the regression analysis in the last 12-month data given below. After analysis, answers the given question: Write down the value of coefficient of correlation and interpret it. Write down the value of coefficient of determination and interpret it. Write down the regression equation for estimating the wastage in the next month Comments about the validity of regression model (equation) How much will be the estimated wastage if the production level is 5,000,000. Production Wastage 4,341,970 39,048 3,911,307 36,076 4,092,487 36,557 3,983,795 40,748 3,719,102 41,419 4,174,050 38,873 3,904,921 40,764 3,819,264 43,368 3,602,300 40,153 4,152,615 41,479 3,917,154 37,333 3,833,967 37,927
Regression and correlation are used for estimation. Select one: True False
A brokerage firm wants to conduct a study to see If there is a linear relationship between size of an account and the number of trades conducted each year. What would be the most appropriate procedure to use to analyze data to ansiver this question? @ANOVA Ⓒ regression Test of slope for correlation Ⓒ test for a difference of proportions @ chi-square Ⓒ test for difference of means
Investigators want to assess the association between initial serum cholesterol levels (mg/100ml) and presence of coronary artery disease (response), adjusting for age and body mass index (BMI). What is the most appropriate method for assessing this association? Please explain why a. Multiple Linear Regression b. Chi-Squared Test c. ANOVA d. Correlation e. Multiple Logistic Regression

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