from january 3 2015 to december 31 , how much greater was the return for s&p retail index than for advance auto parts ? ( in a percentage )
Important information:
text_3: comparison of cumulative total return among advance auto parts , inc. , s&p 500 index and s&p retail index company/index december 31 , december 29 , december 28 , january 3 , january 2 , december 31 .
table_1: company/index the advance auto parts of december 31 2011 is $ 100.00 ; the advance auto parts of december 29 2012 is $ 102.87 ; the advance auto parts of december 28 2013 is $ 158.46 ; the advance auto parts of january 3 2015 is $ 228.88 ; the advance auto parts of january 2 2016 is $ 217.49 ; the advance auto parts of december 31 2016 is $ 244.64 ;
table_3: company/index the s&p retail index of december 31 2011 is 100.00 ; the s&p retail index of december 29 2012 is 122.23 ; the s&p retail index of december 28 2013 is 178.55 ; the s&p retail index of january 3 2015 is 196.06 ; the s&p retail index of january 2 2016 is 245.31 ; the s&p retail index of december 31 2016 is 256.69 ;
Reasoning Steps:
Step: minus1-1(244.64, 228.88) = 15.76
Step: minus1-2(256.69, 196.06) = 99.63
Step: divide1-3(#0, 228.88) = 6.9%
Step: divide1-4(#1, 196.06) = 50.8%
Step: minus1-5(#3, #2) = 43.9%
Program:
subtract(244.64, 228.88), subtract(256.69, 196.06), divide(#0, 228.88), divide(#1, 196.06), subtract(#3, #2)
Program (Nested):
subtract(divide(subtract(256.69, 196.06), 196.06), divide(subtract(244.64, 228.88), 228.88))

Please answer the following financial question based on the context provided. Make sure to give the answer in raw number, not in percentage and without any units. If the question asks for percentage the value should be less than 1
Context:
stock price performance the following graph shows a comparison of the cumulative total return on our common stock , the standard & poor 2019s 500 index and the standard & poor 2019s retail index . the graph assumes that the value of an investment in our common stock and in each such index was $ 100 on december 31 , 2011 , and that any dividends have been reinvested . the comparison in the graph below is based solely on historical data and is not intended to forecast the possible future performance of our common stock . comparison of cumulative total return among advance auto parts , inc. , s&p 500 index and s&p retail index company/index december 31 , december 29 , december 28 , january 3 , january 2 , december 31 .
Table
company/index      | december 31 2011 | december 29 2012 | december 28 2013 | january 3 2015 | january 2 2016 | december 31 2016
advance auto parts | $ 100.00         | $ 102.87         | $ 158.46         | $ 228.88       | $ 217.49       | $ 244.64        
s&p 500 index      | 100.00           | 114.07           | 152.98           | 174.56         | 177.01         | 198.18          
s&p retail index   | 100.00           | 122.23           | 178.55           | 196.06         | 245.31         | 256.69          
.
Question: 
from january 3 2015 to december 31 , how much greater was the return for s&p retail index than for advance auto parts ? ( in a percentage )
Important information:
text_3: comparison of cumulative total return among advance auto parts , inc. , s&p 500 index and s&p retail index company/index december 31 , december 29 , december 28 , january 3 , january 2 , december 31 .
table_1: company/index the advance auto parts of december 31 2011 is $ 100.00 ; the advance auto parts of december 29 2012 is $ 102.87 ; the advance auto parts of december 28 2013 is $ 158.46 ; the advance auto parts of january 3 2015 is $ 228.88 ; the advance auto parts of january 2 2016 is $ 217.49 ; the advance auto parts of december 31 2016 is $ 244.64 ;
table_3: company/index the s&p retail index of december 31 2011 is 100.00 ; the s&p retail index of december 29 2012 is 122.23 ; the s&p retail index of december 28 2013 is 178.55 ; the s&p retail index of january 3 2015 is 196.06 ; the s&p retail index of january 2 2016 is 245.31 ; the s&p retail index of december 31 2016 is 256.69 ;
Reasoning Steps:
Step: minus1-1(244.64, 228.88) = 15.76
Step: minus1-2(256.69, 196.06) = 99.63
Step: divide1-3(#0, 228.88) = 6.9%
Step: divide1-4(#1, 196.06) = 50.8%
Step: minus1-5(#3, #2) = 43.9%
Program:
subtract(244.64, 228.88), subtract(256.69, 196.06), divide(#0, 228.88), divide(#1, 196.06), subtract(#3, #2)
Program (Nested):
subtract(divide(subtract(256.69, 196.06), 196.06), divide(subtract(244.64, 228.88), 228.88))
