Answer:
To answer you question, we need the confidence internals formula, μ±Zc*(σ/
); N is the 20 psychology students, 0.5 the desviation standar and 4.3 is the medium based on national data, every fact in years.
Step-by-step explanation:
You need to consult the Zc value, you can find this table attached in this question; for 95%, we have a Zc value of 1.96.
Next step replace values: 4.3±1.96*(0.5/
) = 4.3±0.22 (rounding the result)
So, the confidence interval are:
4.08cm≤X≤4.52cm
3x^2y^3+5x^3y^3-6+x^3y^2-2
= (3x^2y^3+5x^3y^3+x^3y^2)-(6+2)
= x^2y^2(3y+5xy+x)-8.
The final answer is x^2y^2(3y+5xy+x)-8~
Sale=original-45
129=original-45
add 45 to both sides
174=original
the camera originally cost $174
Answer:
0.8438
0.8438 is a decimal and 84.38/100 or 84.38% is the percentage for 27/32.
Step-by-step explanation:
Answer:
Step-by-step explanation:
Hello!
Given the variables
X₁: Weight of a safety helmet for racers
X₂: Price of a safety helmet for racers
Note, there is n= 17 observed values for each variable so for all calculations I'll use this number and disregard the 18 mentioned in the text.
a) Scatterplot in attachment.
b) If you look at the diagram it seems that there is a negative linear regression between the price and the weight of the helmets, meaning, the higher the helmet weights, the less it costs.
c) The estimated regression equation is ^Yi= a + bXi
n= 17; ∑Y= 6466; ∑Y²= 3063392; ∑X= 1008; ∑X²= 60294; ∑XY= 367536
Y[bar]= 380.35; X[bar]= 59.29

![a= Y[bar]- bX[bar]= 380.35-(-30.18)*59.29= 2169.77](https://tex.z-dn.net/?f=a%3D%20Y%5Bbar%5D-%20bX%5Bbar%5D%3D%20380.35-%28-30.18%29%2A59.29%3D%202169.77)
The estimated regression equation for the price of the helmets as a function of their weight is:
^Yi= 2169.77 -30.18Xi
I hope it helps!