Question

In: Statistics and Probability

For each of the following questions, report 1) the appropriate statistical test or estimation procedure to...

For each of the following questions, report 1) the appropriate statistical test or estimation procedure to use, 2) the null and alternate hypotheses, 3) the test statistic, 4) the P value, 5) whether you accept or reject the null, then 6) a sentence or two about what the results mean.

Also answer this subpart: What is the relationship between age and height of children? Display data using one graph.

child_age

child_ht

5

130

7

135

9

139

8

138

7

125

8

129

5

133

4

128

4

120

10

140

10

144

12

150

11

134

5

132

8

131

7

128

7

139

9

136

13

161

13

163

14

145

12

141

11

154

11

159

5

132

6

138

7

143

6

134

8

140

9

148

7

140

7

133

9

134

10

151

10

157

12

145

13

161

12

154

13

159

12

132

6

134

7

138

8

145

7

134

5

123

5

136

5

133

14

167

12

158

12

149

8

143

9

145

7

147

6

142

Solutions

Expert Solution

ΣX ΣY Σ(x-x̅)² Σ(y-ȳ)² Σ(x-x̅)(y-ȳ)
total sum 467 7629 430.3148148 6426.8 1283.28
mean 8.65 141.28 SSxx SSyy SSxy

sample size ,   n =   54          
here, x̅ = Σx / n=   8.65   ,     ȳ = Σy/n =   141.28  
                  
SSxx =    Σ(x-x̅)² =    430.3148          
SSxy=   Σ(x-x̅)(y-ȳ) =   1283.3          
                  
estimated slope , ß1 = SSxy/SSxx =   1283.3   /   430.315   =   2.9822
                  
intercept,   ß0 = y̅-ß1* x̄ =   115.4874          
                  
so, regression line is   Ŷ =   115.4874   +   2.9822   *x
                  
SSE=   (SSxx * SSyy - SS²xy)/SSxx =    2599.863          
                  
std error ,Se =    √(SSE/(n-2)) =    7.071          
                  
correlation coefficient ,    r = Sxy/√(Sx.Sy) =   0.7717

2)

slope hypothesis test               tail=   2
Ho:   ß1=   0          
H1:   ß1╪   0     

3)


n=   54              
alpha =   0.05              
estimated std error of slope =Se(ß1) = Se/√Sxx =    7.071   /√   430.31   =   0.3409
                  
t stat = estimated slope/std error =ß1 /Se(ß1) =    2.9822   /   0.3409   =   8.7489

4)
                  
t-critical value=    2.007   [excel function: =T.INV.2T(α,df) ]          
Degree of freedom ,df = n-2=   52              
p-value =    0.0000              

5)


decison :    p-value<α , reject Ho              

6)


Conclusion:   Reject Ho and conclude that slope is significantly different from zero  

7)

Relationship is moderate and positive

THANKS

revert back for doubt

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