Section H: Hyla chrysoscelis is a type of gray tree frog with a distinct mating call. Frogs are cold-blooded animals, andtheir physiology is affected by variations in temperature. Researchers wanted to know if the mating song of Hylachrysoscelis is affected by the temperature of its natural habitat. They observed the mating song frequency (y innotes/sec) and the habitat (x in °Celsius) of 20 Hyla chrysoscelis in the wild. We aim to express the relationship betweenand y by using the simple linear regression model Yį = ßo + ß₁ x; + Eį.Table H.1CoefficientsStandardizedUnstandardized CoefficientsCoefficients95.0% Confidence Interval for BLower BoundBStd. ErrorBetaSig.Upper BoundModel1(Constant)-6.190-23.50811.128Temperature2.3311.6023.059a. Dependent Variable: FrequencyTable H.2Model SummaryModelR SquareR.846ª1.715a. Predictors: (Constant), Temperatureb. Dependent Variable: FrequencyAdjusted RSquare8.243.347.699Std. Error ofthe Estimate2.82159.846t-.7516.721.462.000 29. What is the correct interpretation of the estimate of the slope coefficient 3₁?O We estimate that the mating song frequency of Hyla chrysoscelis increases on average by 2.331 notes/sec for every1°C increase in habitat temperature.O We estimate that the mating song frequency of Hyla chrysoscelis increases on average by 8.243 notes/sec for every1°C increase in habitat temperature.O We estimate that the mating song frequency of Hyla chrysoscelis decreases on average by 6.190 notes/sec for every1°C increase in habitat temperature.O We estimate that the mating song frequency of Hyla chrysoscelis is expected to be 2.331 notes/sec for every 1°Cincrease in habitat temperature.

It is given that the simple linear regression model Yi = β0 + β1xi + Ei From the given output…

Answered: 29. What is the correct interpretation…

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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5.) (10 pts) The following graphs show survival in the U.S. from 1900 (left-most curve) to 2020 (right-most curve) in 10-year intervals. Estimate the median lifespan in (a) 1900 (b) 1940, and (c) 2020. 100 90 Percent Surviving 70 60 50 40 30 10 882882820° 2020 1900 0 228288 28 28 2 2 Age
5. Oxygen demand is a term blologists use to describe the axygen needed by fish and other aquatic organisms for survval. The Environmental Protection Agency conducted a study of a wetland area in Marin County, Californla. In this wetland environment, the mean oxygen demand was u=9.9 mg/L, and a= 1.7 mg/L. (Reference: EPA Report 832-R- 93- 005). Let x be a random varlable that represents oxygen demand in this wetland environment. Assume x has a probability distribution that is approximately normal. a. An oxygen demand below 8 mg/L Indicates that some organisms In the wetland environment may be dying. What is the probability that the oxygen demand will fall below 8 mg/L? b. A high oxygen demand can also indicate trouble. An oxygen demand above 12 mg/L may indicate an overabundance of organisms that endanger some types of plant life. What is the probability that the oxygen demand will exceed 12 mg/L?
The regression analysis shows that r^2 = 0.4688. What would the correlation be? A. r = √0.4688 B. r = −√0.4688 C. Both A and B. D. None of the above.
10) The top point in the scatter plot (6.5, 1459) is for Washington, DC. Find the predicted DC violent crime rate if x=6.5. Then find the residual for DC using the predicted violence crime rate and the actual violent crime rate (the actual crime rate is provided in the first sentence of this question). Prediction = Actual y-value = Residual =
26-27. 28-30. 140 y = 4y =
The arm span of a team of athletes was measured and listed in the attached image (Problem-Image2.jpg). a) Calculate the mean arm span, ?̄. b) Complete the table and calculate (to two decimal places of accuracy, the standard deviationof the data.). Check the equation in the attached image (Problem-Image3.jpg)
Suppose that you wish to estimate the difference between mean pH measurements of rainfalls in two different locations, one in relatively unpolluted area and the other in an area subject to heavy air pollution. You want to be 95% confident that the margin of error for the difference between mean pH of rainfalls in relatively unpolluted area and mean pH of rainfalls in an area subject to heavy air pollution will not exceed 0.1 pH. How many rainfalls (pH measurements) must be included in each sample? Assume that the variance of pH measurements in a relatively unpolluted area is equal to 2 = 20, and the variance of pH measurements in an area subject to heavy pollution is equal to 2 = 0.25, and samples will be of equal size (n = n₂ = n). 2 It is supposed that values of pH in rainfalls are normally distributed in polluted and unpolluted areas. The number of rainfalls (pH measurements) that must be included in each sample is
A quantity measured 50 times results in a mean x=23.345 +/- 0.0022 What is the standard deviation? What number of measurements will cut the standard deviation of the mean half? If a 100 measurement are taken, what is the new standard deviation?
10. 18.30 Temperatures are measured at various points on a heated plate (Table P18.30). Estimate the temperature at (a) x = 4, y = 3.2, and (b) x = 4.3, y = 2.7. TABLE P18.30 Temperature (°C) at various points on a square heated plate. x = 0 x = 2 y = 0 y 2 y = 4 y=6 y 8 100.00 85.00 70.00 55.00 40.00 90.00 64.49 48.90 38.78 35.00 x = 6 70.00 48.15 35.03 30.39 27.07 30.00 25.00 x = 4 80.00 53.50 38.43 x = 8 60.00 50.00 40.00 30.00 20.00
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A regression was done for 20 cities with the latitude (Latitude), a measurement of the distance of a location on the Earth from the equator in degrees and the average January temperatures (Temp) as the dependent variable measure in. The regression equation is a) The value of the slope is [Select ] [Select] TEMP=48.4 -0.31 x LATITUDE b) The predicted average January temperatures for the 20 cities for a latitude of 45 degrees is [Select] ✓. If in fact the [Select] average January temperature for a latitude of 45 degrees is 40° F , the residual is [Select] which is a(n) [Select] which means c) The coefficient of determination is R²: 66.2%. This value means [Select] The correlation r, is which means [Select] d) The y-intercept is [Select] the problem interprets to [Select] make sense in the context of the problem? [Select] Formulas: r = ±√R² Residual actual y - predicted y 0.7<|rl≤1 very strong 0.5

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