Refer to the accompanying data set of mean drive-through service times at dinner in seconds at two fast food restaurants. Construct a 90% confidence interval estimate of the mean drive-through service time for Restaurant X at dinner; then do the same for Restaurant Y. Compare the results. Restaurant X, Restaurant Y 81,101 118,127 116,152 145,112 269,174 180,131 121,111 150,127 158,125 211,123 337,133 313,139 178,231 110,215 160,289 144,130 99,93 234,133 239,245 189,141 155,147 198,206 166,151 124,144 65,141 199,150 179,160 120,135 141,165 176,136 184,240 194,235 228,249 190,239 349,235 307,170 215,84 193,106 183,57 186,167 101,78 147,142 179,138 154,101 175,121 162,150 166,126 122,181 138,144 314,125 Construct a 90% confidence interval of the mean drive-through service times at dinner for Restaurant X. ___sec<μ<___sec (Round to one decimal place as needed.) Construct a 90% confidence interval of the mean drive-through service times at dinner for Restaurant Y. ___sec<μ<___sec (Round to one decimal place as needed.)
Correlation
Correlation defines a relationship between two independent variables. It tells the degree to which variables move in relation to each other. When two sets of data are related to each other, there is a correlation between them.
Linear Correlation
A correlation is used to determine the relationships between numerical and categorical variables. In other words, it is an indicator of how things are connected to one another. The correlation analysis is the study of how variables are related.
Regression Analysis
Regression analysis is a statistical method in which it estimates the relationship between a dependent variable and one or more independent variable. In simple terms dependent variable is called as outcome variable and independent variable is called as predictors. Regression analysis is one of the methods to find the trends in data. The independent variable used in Regression analysis is named Predictor variable. It offers data of an associated dependent variable regarding a particular outcome.
Refer to the accompanying data set of
Restaurant X, Restaurant Y
81,101
118,127
116,152
145,112
269,174
180,131
121,111
150,127
158,125
211,123
337,133
313,139
178,231
110,215
160,289
144,130
99,93
234,133
239,245
189,141
155,147
198,206
166,151
124,144
65,141
199,150
179,160
120,135
141,165
176,136
184,240
194,235
228,249
190,239
349,235
307,170
215,84
193,106
183,57
186,167
101,78
147,142
179,138
154,101
175,121
162,150
166,126
122,181
138,144
314,125
Construct a 90% confidence interval of the mean drive-through service times at dinner for Restaurant X.
___sec<μ<___sec
(Round to one decimal place as needed.)
Construct a 90% confidence interval of the mean drive-through service times at dinner for Restaurant Y.
___sec<μ<___sec
(Round to one decimal place as needed.)
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