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exis [7]
4 years ago
13

Joe organised a large wedding.

Mathematics
1 answer:
Y_Kistochka [10]4 years ago
7 0

Answer:

The total number of guests that were at the wedding was 276.

Step-by-step explanation:

Let the total number of guests at the wedding be, <em>N</em>.

The meal options are:

Beef, Chicken and Vegetarian.

It is provided that:

Proportion of guests who chose beef is, \frac{1}{3}.

Proportion of guests who chose chicken is, \frac{5}{12}.

According to the laws of probability, the sum of the probabilities of all the events of a sample space is 1.

Then the sum of probability of guests selecting beef, chicken or vegetarian should also be 1.

Compute the proportion of guests who chose vegetarian as follows:

P (Vegetarian) = 1 - P (Beef) - P (Chicken)

                        =1-\frac{1}{3}-\frac{5}{12}

                        =\frac{12-4-5}{12}

                        =\frac{3}{12}\\\\=\frac{1}{4}

So, the proportion of guests who chose vegetarian was \frac{1}{4}.

It is also provided that the number of guests who chose vegetarian was 69, i.e. \frac{1}{4} of N = 69.

Compute the value of N as follows:

\frac{1}{4}\times N=69

     N=69\times 4

         =276

Thus, the total number of guests that were at the wedding was 276.

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SVETLANKA909090 [29]

Answer:

a) y=-6.254 x +75.064  

b) r =-0.932

The % of variation is given by the determination coefficient given by r^2 and on this case -0.932^2 =0.8687, so then the % of variation explained by the linear model is 86.87%.

Step-by-step explanation:

Assuming the following dataset:

Monthly Sales (Y)     Interest Rate (X)

       22                               9.2

       20                               7.6

       10                                10.4

       45                                5.3

Part a

And we want a linear model on this way y=mx+b, where m represent the slope and b the intercept. In order to find the slope we have this formula:

m=\frac{S_{xy}}{S_{xx}}  

Where:  

S_{xy}=\sum_{i=1}^n x_i y_i -\frac{(\sum_{i=1}^n x_i)(\sum_{i=1}^n y_i)}{n}  

S_{xx}=\sum_{i=1}^n x^2_i -\frac{(\sum_{i=1}^n x_i)^2}{n}  

With these we can find the sums:  

S_{xx}=\sum_{i=1}^n x^2_i -\frac{(\sum_{i=1}^n x_i)^2}{n}=278.65-\frac{32.5^2}{4}=14.5875  

S_{xy}=\sum_{i=1}^n x_i y_i -\frac{(\sum_{i=1}^n x_i)(\sum_{i=1}^n y_i){n}}=696.9-\frac{32.5*97}{4}=-91.225  

And the slope would be:  

m=\frac{-91.225}{14.5875}=-6.254  

Nowe we can find the means for x and y like this:  

\bar x= \frac{\sum x_i}{n}=\frac{32.5}{4}=8.125  

\bar y= \frac{\sum y_i}{n}=\frac{97}{4}=24.25  

And we can find the intercept using this:  

b=\bar y -m \bar x=24.25-(-6.254*8.125)=75.064  

So the line would be given by:  

y=-6.254 x +75.064  

Part b

For this case we need to calculate the correlation coefficient given by:

r=\frac{n(\sum xy)-(\sum x)(\sum y)}{\sqrt{[n\sum x^2 -(\sum x)^2][n\sum y^2 -(\sum y)^2]}}  

r=\frac{4(696.9)-(32.5)(97)}{\sqrt{[4(278.65) -(32.5)^2][4(3009) -(97)^2]}}=-0.937  

So then the correlation coefficient would be r =-0.932

The % of variation is given by the determination coefficient given by r^2 and on this case -0.932^2 =0.8687, so then the % of variation explained by the linear model is 86.87%.

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