Heights (cm) and weights (kg) are measured for 100 randomly selected adult males, and range from heights of 136 to 190 cm and weights of 39 to 150 kg. Let the predictor variable x be the first variable given. The 100 paired measurements yi x= 167.51 cm, y= 81.36 kg, r= 0.232, P-value = 0.020, and y = - 103 + 1.13x. Find the best predicted value of y (weight) given an adult male who is 153 cm tall. Use a 0.01 significance level. The best predicted value of y for an adult male who is 153 cm tall is kg (Round to two decimal places as needed.)
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- I would need some help with finding the best predicted value of y corresponding to the given value of x.Heights (cm) and weights (kg) are measured for 100 randomly selected adult males, and range from heights of 130130 to 194194 cm and weights of 3838 to 150150 kg. Let the predictor variable x be the first variable given. The 100 paired measurements yield x overbarxequals=167.28167.28 cm, y overbaryequals=81.3781.37 kg, requals=0.2190.219, P-valueequals=0.0290.029, and ModifyingAbove y with caretyequals=negative 108−108plus+1.071.07x. Find the best predicted value of ModifyingAbove y with carety (weight) given an adult male who is 145 cm tall. Use a 0.01 significance level. The best predicted value of ModifyingAbove y with carety for an adult male who is 145 cm tall is?Heights (cm) and weights (kg) are measured for 100 randomly selected adult males, and range from heights of 133133 to 190190 cm and weights of 3737 to 150150 kg. Let the predictor variable x be the first variable given. The 100 paired measurements yield x overbarxequals=168.08168.08 cm, y overbaryequals=81.5781.57 kg, requals=0.3130.313, P-valueequals=0.0020.002, and ModifyingAbove y with caretyequals=negative 108−108plus+1.121.12x. Find the best predicted value of ModifyingAbove y with carety (weight) given an adult male who is 169169 cm tall. Use a 0.050.05 significance level. The best predicted value of ModifyingAbove y with carety for an adult male who is 169169 cm tall is (answer) kg. (Round to two decimal places as needed.)
- Suppose a researcher wants to see if the proportion of college educated adults is higher in New York compared to Florida. The researcher randomly samples 500 adults in New York and found that 196 had a college education, while a random sample of 600 adults in Florida found that 227 had a college education.At the 0.05 level of significance, does the data provide evidence to suggest the proportion of college educated adults is higher in New York than Florida? Step 1: Define the parameter & setup the testStep 2: State the Level of SignificanceStep 3: Find the value of the Test StatisticsStep 4: Find P-Value OR Find Critical ValueStep 5: State Conclusion and whyFor 50 randomly selected speed dates, attractiveness ratings by males of their female date partners (x) are recorded along with the attractiveness ratings by females of their male date partners (y); the ratings range from 1 to 10. The 50 paired ratings yield x=6.3, y=6.0, r=−0.257, P-value=0.072, and y=7.92−0.300x. Find the best predicted value of y (attractiveness rating by female of male) for a date in which the attractiveness rating by the male of the female is x=3. Use a 0.05 significance level. The best predicted value of y when x=3 is? (Round to one decimal place as needed.)For 50 randomly selected speed dates, attractiveness ratings by males of their female date partners (x) are recorded along with the attractiveness ratings by females of their male date partners (y); the ratings range from 1 to 10. The 50 paired ratings yield x=6.3, y=5.9, r=−0.142, P-value=0.326,and y=6.92−0.155x. Find the best predicted value of y(attractiveness rating by female of male) for a date in which the attractiveness rating by the male of the female is x=8. Use a 0.10 significance level. The best predicted value of y when x=8 is
- For 50 randomly selected speed dates, attractiveness ratings by males of their female date partners (x) are recorded along with the attractiveness ratings by females of their male date partners (y); the ratings range from 1 to 10. The 50 paired ratings yield x =6.3, y = 6.1, r = -0.192, P-value = 0.182, and y =7.46 - 0.219x. Find the best predicted value of y (attractiveness rating by female of male) for a date in which the attractiveness rating by the male of the female is x =7. Use a 0.10 significance level. The best predicted value of y when x =7 isFor 50 randomly selected speed dates, attractiveness ratings by males of their female date partners (x) are recorded along with the attractiveness ratings by females of their male date partners (y); the ratings range from 1 to 10. The 50 paired ratings yield x=6.3, y=6.0, r=−0.228, P-value=0.111, and y=7.81−0.280x. Find the best predicted value of y(attractiveness rating by female of male) for a date in which the attractiveness rating by the male of the female is x=5. Use a 0.10 significance level. The best predicted value of ywhen x=5 is nothing. (Round to one decimal place as needed.)Heights (cm) and weights (kg) are measured for 100 randomly selected adult males, and range from heights of 131131 to 194194 cm and weights of 4141 to 150150 kg. Let the predictor variable x be the first variable given. The 100 paired measurements yield x overbarxequals=167.50167.50 cm, y overbaryequals=81.4381.43 kg, requals=0.4180.418, P-valueequals=0.0000.000, and ModifyingAbove y with caretyequals=negative 105−105plus+1.191.19x. Find the best predicted value of ModifyingAbove y with carety (weight) given an adult male who is 150150 cm tall. Use a 0.100.10 significance level. The best predicted value of ModifyingAbove y with carety for an adult male who is 150150 cm tall is nothing kg. (Round to two decimal places as needed.)
- For 50 randomly selected speed dates, attractiveness ratings by males of their female date partners (x) are recorded along with the attractiveness ratings by females of their male date partners (y); the ratings range from 1 to 10. The 50 paired ratings yield x=6.3, y=5.9, r=−0.256, P-value=0.073, and y=7.73−0.285x. Find the best predicted value of y (attractiveness rating by female of male) for a date in which the attractiveness rating by the male of the female is x=6. Use a 0.01 significance level. The best predicted value of y when x=6 is?In an experimental study, what makes one variable the predictor (i.e., independent) and the other one predicted (i.e., dependent)?A sample multiple linear regression equation predicts the response variable y to be 87.62 at values of the predictor variables x1 = 5, x2 = 12, and x3 = 27. What is the estimated value of the conditional mean of y at x1 = 5, x2 = 12, and x3 = 27?