Heights (cm) and weights (kg) are measured for 100 randomly selected adult males, and range from heights of 133 to 191 cm and weights of 37 to 150 kg. Let the predictor variable x be the first variable given. The 100 paired measurements yield x = 168.02 cm, y = 81.54 kg, r=0.233, P-value = 0.020, and y= - 108 + 1.16x. Find the best predicted value of y (weight) given an adult male who is 135 cm tall. Use a 0.01 significance level. The best predicted value of y for an adult male who is 135 cm tali is 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= 6.4, y = 6.0, r= - 0.267, P-value = 0.061, and y= 7.90- 0.296x. 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= 4. Use a 0.01 significance level. The best predicted value of y when x= 4 is. (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 135 to 188 cm and weights of 39 to 150 kg. Let the variable x be the height. The 100 paired measurements yield x=167.08 ​cm, y=81.32 ​kg, r=0.254​, and y=−109+1.07x. Find the best predicted value of y ​(weight) given an adult male who is 163 cm tall. Use a 0.05 significance level.     The best predicted value of y for an adult male who is 163 cm tall is   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 = 6.4, y = 5.9, r= - 0.319, P-value = 0.024, and y = 8.29 – 0.379x. 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 (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 139 to 189 cm and weights of 39 to 150 kg. Let the predictor variable x be the first variable given. The 100 paired measurements yield x=167.70 ​cm, y=81.43 ​kg, r=0.324​, ​P-value=0.001​, and y=−101+1.06x. Find the best predicted value of y ​(weight) given an adult male who is 151 cm tall. Use a 0.10 significance level.       Question content area bottom Part 1 The best predicted value of y for an adult male who is 151 cm tall is enter your response here 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 = 6.4, y = 6.0, r=-0.233, P-value = 0.104, and ŷ= 7.88 -0.292x. 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 = 4. Use a 0.01 significance level. The best predicted value of y when x = 4 is (Round to one decimal place as needed.)

High to centimeters and weight in kilograms are measured for 100 randomly selected adult males and range from the height of 131 to 189 cm and weights of 37 to 150 kg. let the predictor variable X be the first variable given. the 100 paired measurements yield X bar is equal to 167.31 cm, y bar is equal to 81.42 kg.  R is equal to 0.335. P value equal to 0.001 and predicted y = -103+1.08x. find the best predictive value of predicted why wait given an adult male who is 150 cm tall use a 0.01 significance level.

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 = 6.0, r= - 0.151, P-value = 0.294, and y 6.98 - 0.161x. 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= 9. Use a 0.10 significance level. The best predicted value of y when x=9 is (Round to one decimal place as needed.)

Suppose that having a widow's peak was a dominant trait (W) compared to not having a widow's peak (w). In a sample size of 30 students, 15 were observed to have a widow's peak and 15 did not have a widow's peak. The expected frequency of a widow's peak is 75% chance of getting it and a 25% chance of not getting it. Perform a chi square analysis to see if the data above agrees with the predicted outcome.

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.)